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Journal articles on the topic 'Gene mapping – Computer simulation'

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1

Malakar, Preeti, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, and Sathish S. Vadhiyar. "A Divide and Conquer Strategy for Scaling Weather Simulations with Multiple Regions of Interest." Scientific Programming 21, no. 3-4 (2013): 93–107. http://dx.doi.org/10.1155/2013/682356.

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Accurate and timely prediction of weather phenomena, such as hurricanes and flash floods, require high-fidelity compute intensive simulations of multiple finer regions of interest within a coarse simulation domain. Current weather applications execute these nested simulations sequentially using all the available processors, which is sub-optimal due to their sub-linear scalability. In this work, we present a strategy for parallel execution of multiple nested domain simulations based on partitioning the 2-D processor grid into disjoint rectangular regions associated with each domain. We propose
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2

Tyson, Adam L., Charly V. Rousseau, Christian J. Niedworok, Sepiedeh Keshavarzi, Chryssanthi Tsitoura, Lee Cossell, Molly Strom, and Troy W. Margrie. "A deep learning algorithm for 3D cell detection in whole mouse brain image datasets." PLOS Computational Biology 17, no. 5 (May 28, 2021): e1009074. http://dx.doi.org/10.1371/journal.pcbi.1009074.

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Understanding the function of the nervous system necessitates mapping the spatial distributions of its constituent cells defined by function, anatomy or gene expression. Recently, developments in tissue preparation and microscopy allow cellular populations to be imaged throughout the entire rodent brain. However, mapping these neurons manually is prone to bias and is often impractically time consuming. Here we present an open-source algorithm for fully automated 3D detection of neuronal somata in mouse whole-brain microscopy images using standard desktop computer hardware. We demonstrate the a
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3

Xu, Shizhong. "Mapping quantitative trait loci using four-way crosses." Genetical Research 68, no. 2 (October 1996): 175–81. http://dx.doi.org/10.1017/s0016672300034066.

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SummaryIn plant species, typical gene mapping strategies use populations initiated from crosses between two inbred lines. However, schemes including more than two parents could be used. In this paper, a new approach is introduced which uses a four-way cross population derived from four inbred lines. The four-way cross design for mapping quantitative trait loci (QTLs) provides tests for QTL segregation in four lines simultaneously in one experiment. Therefore, it is a more economical strategy than oneusing line crosses between only two lines. The new strategy also increases the probability of d
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4

Fortune, Mary D., and Chris Wallace. "simGWAS: a fast method for simulation of large scale case–control GWAS summary statistics." Bioinformatics 35, no. 11 (October 29, 2018): 1901–6. http://dx.doi.org/10.1093/bioinformatics/bty898.

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Abstract Motivation Methods for analysis of GWAS summary statistics have encouraged data sharing and democratized the analysis of different diseases. Ideal validation for such methods is application to simulated data, where some ‘truth’ is known. As GWAS increase in size, so does the computational complexity of such evaluations; standard practice repeatedly simulates and analyses genotype data for all individuals in an example study. Results We have developed a novel method based on an alternative approach, directly simulating GWAS summary data, without individual data as an intermediate step.
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Millstein, Joshua, Francesca Battaglin, Malcolm Barrett, Shu Cao, Wu Zhang, Sebastian Stintzing, Volker Heinemann, and Heinz-Josef Lenz. "Partition: a surjective mapping approach for dimensionality reduction." Bioinformatics 36, no. 3 (August 26, 2019): 676–81. http://dx.doi.org/10.1093/bioinformatics/btz661.

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Abstract Motivation Large amounts of information generated by genomic technologies are accompanied by statistical and computational challenges due to redundancy, badly behaved data and noise. Dimensionality reduction (DR) methods have been developed to mitigate these challenges. However, many approaches are not scalable to large dimensions or result in excessive information loss. Results The proposed approach partitions data into subsets of related features and summarizes each into one and only one new feature, thus defining a surjective mapping. A constraint on information loss determines the
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Drusbosky, Leylah, Neeraj Kumar Singh, Pranav Tiwari, Shireen Vali, Taher Abbasi, Sarbjit Sarkaria, Adam Lorant, Satin Burns, Rafael Bejar, and Christopher R. Cogle. "A Genomic Rule Predicting HMA Treatment Response in MDS Identified By Protein Network Mapping and Validated By Clinical Trial Simulation." Blood 128, no. 22 (December 2, 2016): 3151. http://dx.doi.org/10.1182/blood.v128.22.3151.3151.

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Abstract Background: Hypomethyating agents (HMAs) for the treatment of the myelodysplastic syndromes (MDS) fail to achieve clinical improvement in nearly 60% of patients. We previously reported a genomics-informed computational method that had >80% accuracy in predicting HMA treatment response in higher risk MDS patients. Aim: To define novel genomic signature rules to predict MDS response to HMA therapy and validate the rules in a clinical trial simulation. Methods: We analyzed a cohort of 213 high-risk MDS patients treated with an HMA and assessed for disease response by IWG criteria (Bej
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7

Zhang, Lei, Chenxing Zheng, Yu Zheng, Haihong Huang, and Qingdi Ke. "Product evolutionary design driven by environmental performance." Concurrent Engineering 27, no. 1 (October 15, 2018): 40–56. http://dx.doi.org/10.1177/1063293x18805200.

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This article is in terms of product environmental performance demand and proposes four structure evolutionary operation modes which include combined evolutionary method, decomposition evolutionary method, replacement evolutionary method, and material-changing evolutionary method to express the structure evolutionary process of products. Through the quotient space theory and proposed method combined with probability statistics, probability mapping from environmental performance to product structure is established and the evolutionary individuals with outstanding environmental performance are li
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8

Hori, Atsushi, Kazumi Yoshinaga, Thomas Herault, Aurélien Bouteiller, George Bosilca, and Yutaka Ishikawa. "Overhead of using spare nodes." International Journal of High Performance Computing Applications 34, no. 2 (February 4, 2020): 208–26. http://dx.doi.org/10.1177/1094342020901885.

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With the increasing fault rate on high-end supercomputers, the topic of fault tolerance has been gathering attention. To cope with this situation, various fault-tolerance techniques are under investigation; these include user-level, algorithm-based fault-tolerance techniques and parallel execution environments that enable jobs to continue following node failure. Even with these techniques, some programs with static load balancing, such as stencil computation, may underperform after a failure recovery. Even when spare nodes are present, they are not always substituted for failed nodes in an eff
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9

Destiarani, Wanda, Rahmaniar Mulyani, Muhammad Yusuf, and Iman Permana Maksum. "Molecular Dynamics Simulation of T10609C and C10676G Mutations of Mitochondrial ND4L Gene Associated With Proton Translocation in Type 2 Diabetes Mellitus and Cataract Patients." Bioinformatics and Biology Insights 14 (January 2020): 117793222097867. http://dx.doi.org/10.1177/1177932220978672.

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The mutation rate of mitochondrial DNA (mtDNA) is 17 times higher than nuclear DNA, and these mutations can cause mitochondrial disease in 1 of 10.000 people. The T10609C mutation was identified in type 2 diabetes mellitus (T2DM) patients and the C10676G mutation in cataract patients, with both mutations occurring in the ND4L gene of mtDNA that encodes ND4L protein. ND4L protein, a subunit of complex I in the respiratory complex, has been shown to play a role in the proton translocation process. The purpose of this study was to investigate the effect of both mutations on the proton translocati
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10

Yang, Chin Jian, Rajiv Sharma, Gregor Gorjanc, Sarah Hearne, Wayne Powell, and Ian Mackay. "Origin Specific Genomic Selection: A Simple Process To Optimize the Favorable Contribution of Parents to Progeny." G3: Genes|Genomes|Genetics 10, no. 7 (May 19, 2020): 2445–55. http://dx.doi.org/10.1534/g3.120.401132.

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Modern crop breeding is in constant demand for new genetic diversity as part of the arms race with genetic gain. The elite gene pool has limited genetic variation and breeders are trying to introduce novelty from unadapted germplasm, landraces and wild relatives. For polygenic traits, currently available approaches to introgression are not ideal, as there is a demonstrable bias against exotic alleles during selection. Here, we propose a partitioned form of genomic selection, called Origin Specific Genomic Selection (OSGS), where we identify and target selection on favorable exotic alleles. Bri
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11

Johnson, Paul C. D., and Daniel T. Haydon. "Software for Quantifying and Simulating Microsatellite Genotyping Error." Bioinformatics and Biology Insights 1 (January 2007): BBI.S373. http://dx.doi.org/10.4137/bbi.s373.

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Microsatellite genetic marker data are exploited in a variety of fields, including forensics, gene mapping, kinship inference and population genetics. In all of these fields, inference can be thwarted by failure to quantify and account for data errors, and kinship inference in particular can benefit from separating errors into two distinct classes: allelic dropout and false alleles. Pedant is MS Windows software for estimating locus-specific maximum likelihood rates of these two classes of error. Estimation is based on comparison of duplicate error-prone genotypes: neither reference genotypes
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12

Hill, William G. "Selection with Recurrent Backcrossing to Develop Congenic Lines for Quantitative Trait Loci Analysis." Genetics 148, no. 3 (March 1, 1998): 1341–52. http://dx.doi.org/10.1093/genetics/148.3.1341.

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Abstract Sewall Wright suggested that genes of large effect on a quantitative trait could be isolated by recurrent backcrossing with selection on the trait. Loci [quantitative trait loci (QTL)] at which the recurrent and nonrecurrent lines have genes of different large effect on the trait would remain segregating, while other loci would become fixed for the gene carried by the recurrent parent. If the recurrent line is inbred and the backcrossing and selection is conducted in a series of replicate lines, in each of which only one backcross parent is selected for each generation, the lines will
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13

TAN, QIHUA, LENE CHRISTIANSEN, KAARE CHRISTENSEN, LISE BATHUM, SHUXIA LI, JING HUA ZHAO, and TORBEN A. KRUSE. "Haplotype association analysis of human disease traits using genotype data of unrelated individuals." Genetical Research 86, no. 3 (November 25, 2005): 223–31. http://dx.doi.org/10.1017/s0016672305007792.

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Haplotype inference has become an important part of human genetic data analysis due to its functional and statistical advantages over the single-locus approach in linkage disequilibrium mapping. Different statistical methods have been proposed for detecting haplotype – disease associations using unphased multi-locus genotype data, ranging from the early approach by the simple gene-counting method to the recent work using the generalized linear model. However, these methods are either confined to case – control design or unable to yield unbiased point and interval estimates of haplotype effects
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14

Li, Xin, Xianran Li, Eyal Fridman, Tesfaye T. Tesso, and Jianming Yu. "Dissecting repulsion linkage in the dwarfing gene Dw3 region for sorghum plant height provides insights into heterosis." Proceedings of the National Academy of Sciences 112, no. 38 (September 8, 2015): 11823–28. http://dx.doi.org/10.1073/pnas.1509229112.

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Heterosis is a main contributor to yield increase in many crop species. Different mechanisms have been proposed for heterosis: dominance, overdominance, epistasis, epigenetics, and protein metabolite changes. However, only limited examples of molecular dissection and validation of these mechanisms are available. Here, we present an example of discovery and validation of heterosis generated by a combination of repulsion linkage and dominance. Using a recombinant inbred line population, a separate quantitative trait locus (QTL) for plant height (qHT7.1) was identified near the genomic region har
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15

Ruan, Peifeng, Ya Wang, Ronglai Shen, and Shuang Wang. "Using association signal annotations to boost similarity network fusion." Bioinformatics 35, no. 19 (February 19, 2019): 3718–26. http://dx.doi.org/10.1093/bioinformatics/btz124.

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Abstract Motivation Recent technology developments have made it possible to generate various kinds of omics data, which provides opportunities to better solve problems such as disease subtyping or disease mapping using more comprehensive omics data jointly. Among many developed data-integration methods, the similarity network fusion (SNF) method has shown a great potential to identify new disease subtypes through separating similar subjects using multi-omics data. SNF effectively fuses similarity networks with pairwise patient similarity measures from different types of omics data into one fus
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16

Frattini, Annalisa, Sara Faranda, and Paolo Vezzoni. "Computer Gene Mapping byEagI-Based STSs." Genomics 38, no. 1 (November 1996): 87–91. http://dx.doi.org/10.1006/geno.1996.0597.

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17

Wadge, G., P. A. V. Young, and I. J. McKendrick. "Mapping lava flow hazards using computer simulation." Journal of Geophysical Research: Solid Earth 99, B1 (January 10, 1994): 489–504. http://dx.doi.org/10.1029/93jb01561.

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18

Qu, Xianggui. "The Statistics of Gene Mapping." Technometrics 50, no. 1 (February 2008): 94. http://dx.doi.org/10.1198/tech.2008.s537.

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19

Усманова, E. Usmanova, Короткий, Viktor Korotkiy, Хмарова, and Lyudmila Khmarova. "Computer Simulation of Kinematic Surfaces." Geometry & Graphics 3, no. 4 (December 17, 2015): 19–26. http://dx.doi.org/10.12737/17347.

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A geometric surface model is formed taking into account
 given functional, structural, technological, economic, aesthetic
 requirements. These requirements are formulated in geometric
 terms and are expressed in terms of the surface parameters. The
 surface is modeled either Kinematics manner, or by way of a twodimensional
 interpolation. In accordance with in accordance with
 the kinematic method, the surface is formed as a continuous oneparameter
 many curves that form simulated in the surface. In accordance
 with the interpolation method, the surface
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20

Jordan, E., T. Berlec, L. Rihar, and J. Kusar. "Simulation of Cost Driven Value Stream Mapping." International Journal of Simulation Modelling 19, no. 3 (September 15, 2020): 458–69. http://dx.doi.org/10.2507/ijsimm19-3-527.

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21

Lakaemper, Rolf, and Ali M. Malkawi. "Integrating Robot Mapping and Augmented Building Simulation." Journal of Computing in Civil Engineering 23, no. 6 (November 2009): 384–90. http://dx.doi.org/10.1061/(asce)0887-3801(2009)23:6(384).

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22

Lakaemper, Rolf, Nagesh Adluru, Longin Jan Latecki, and Raj Madhavan. "Multi robot mapping using force field simulation." Journal of Field Robotics 24, no. 8-9 (2007): 747–62. http://dx.doi.org/10.1002/rob.20210.

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23

Salis, Howard, and Yiannis Kaznessis. "Numerical simulation of stochastic gene circuits." Computers & Chemical Engineering 29, no. 3 (February 2005): 577–88. http://dx.doi.org/10.1016/j.compchemeng.2004.08.017.

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24

Gopee, Ajit. "Gene Expression-Based Cross Species Tissue Mapping." BMC Bioinformatics 6, Suppl 3 (2005): P16. http://dx.doi.org/10.1186/1471-2105-6-s3-p16.

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Guo, Jerry Jinfeng, Martin Eisemann, and Elmar Eisemann. "Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation." Computer Graphics Forum 39, no. 7 (October 2020): 205–17. http://dx.doi.org/10.1111/cgf.14138.

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26

Basu, Kashinath, Frank Ball, and Demetres D. Kouvatsos. "A Simulation Study of IPv6 to ATM Flow-Mapping Techniques." SIMULATION 78, no. 7 (July 2002): 423–30. http://dx.doi.org/10.1177/0037549702078007580.

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Cruzalèbes, Pierre, Gérard Schumacher, and Jean-Luc Starck. "Model-independent mapping by optical aperture synthesis: basic principles and computer simulation." Journal of the Optical Society of America A 9, no. 5 (May 1, 1992): 708. http://dx.doi.org/10.1364/josaa.9.000708.

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28

KANDA, Tohru, Kazuo KANKI, Satoshi YAMADA, and Takeshi NISHIYAMA. "Runoff Simulation for Urban Sewer System Using SWMM Combined with Computer Mapping." PROCEEDINGS OF HYDRAULIC ENGINEERING 37 (1993): 117–22. http://dx.doi.org/10.2208/prohe.37.117.

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29

Burr, B., F. A. Burr, K. H. Thompson, M. C. Albertson, and C. W. Stuber. "Gene mapping with recombinant inbreds in maize." Genetics 118, no. 3 (March 1, 1988): 519–26. http://dx.doi.org/10.1093/genetics/118.3.519.

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Abstract Recombinant inbred lines of maize have been developed for the rapid mapping of molecular probes to chromosomal location. Two recombinant inbred families have been constructed from F2 populations of T232 X CM37 and CO159 X Tx303. A genetic map based largely on isozymes and restriction fragment length polymorphisms has been produced that covers virtually the entire maize genome. In order to map a new gene, an investigator has only to determine its allelic distribution among the recombinant inbred lines and then compare it by computer with the distributions of all previously mapped loci.
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Ragragui, Anouar, Adnane Ouazzani Chahdi, Akram Halli, and Khalid Satori. "Revolution mapping with bump mapping support." Graphical Models 100 (November 2018): 1–11. http://dx.doi.org/10.1016/j.gmod.2018.09.001.

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31

Ge, Q. J., and B. Ravani. "Computer Aided Geometric Design of Motion Interpolants." Journal of Mechanical Design 116, no. 3 (September 1, 1994): 756–62. http://dx.doi.org/10.1115/1.2919447.

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This paper studies continuous computational geometry of motion and develops a method for Computer Aided Geometric Design (CAGD) of motion interpolants. The approach uses a mapping of spatial kinematics to convert the problem of interpolating displacements to that of interpolating points in the space of the mapping. To facilitate the point interpolation, the previously unorientable mapping space is made orientable. Methods are then developed for designing spline curves in the mapping space with tangent, curvature and torsion continuities. The results have application in computer animation of th
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Selvakumar, S., and C. Siva Ram Murthy. "An efficient algorithm for mapping VLSI circuit simulation programs onto multiprocessors." Parallel Computing 17, no. 9 (November 1991): 1009–16. http://dx.doi.org/10.1016/s0167-8191(05)80045-6.

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33

Trebuna, P., M. Pekarcikova, and M. Edl. "Digital Value Stream Mapping Using the Tecnomatix Plant Simulation Software." International Journal of Simulation Modelling 18, no. 1 (March 15, 2019): 19–32. http://dx.doi.org/10.2507/ijsimm18(1)455.

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Khan, Muhammad Awais, Sherif Adeshina Busari, Kazi Mohammed Saidul Huq, Shahid Mumtaz, Saba Al-Rubaye, Jonathan Rodriguez, and Anwer Al-Dulaimi. "A novel mapping technique for ray tracer to system-level simulation." Computer Communications 150 (January 2020): 378–83. http://dx.doi.org/10.1016/j.comcom.2019.11.039.

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35

Kratz, Anton, Masaru Tomita, and Arun Krishnan. "GeNESiS: gene network evolution simulation software." BMC Bioinformatics 9, no. 1 (2008): 541. http://dx.doi.org/10.1186/1471-2105-9-541.

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36

Seidl, A., and M. Svoboda. "Numerical Conformal Mapping for Treatment of Geometry Problems in Process Simulation." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 4, no. 4 (October 1985): 404–7. http://dx.doi.org/10.1109/tcad.1985.1270138.

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37

Su, Chengfu, Xinmian Qiu, and Zhixian Ji. "Study of strategies for selecting quantitative trait locus mapping procedures by computer simulation." Molecular Breeding 31, no. 4 (March 17, 2013): 947–56. http://dx.doi.org/10.1007/s11032-013-9848-6.

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38

Pérez-Enciso, Miguel, Miguel A. Toro, Michel Tenenhaus, and Daniel Gianola. "Combining Gene Expression and Molecular Marker Information for Mapping Complex Trait Genes: A Simulation Study." Genetics 164, no. 4 (August 1, 2003): 1597–606. http://dx.doi.org/10.1093/genetics/164.4.1597.

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Abstract A method for mapping complex trait genes using cDNA microarray and molecular marker data jointly is presented and illustrated via simulation. We introduce a novel approach for simulating phenotypes and genotypes conditionally on real, publicly available, microarray data. The model assumes an underlying continuous latent variable (liability) related to some measured cDNA expression levels. Partial least-squares logistic regression is used to estimate the liability under several scenarios where the level of gene interaction, the gene effect, and the number of cDNA levels affecting liabi
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Uslu, Erkan, Furkan Çakmak, Nihal Altuntaş, Salih Marangoz, Mehmet Fatih Amasyalı, and Sırma Yavuz. "An architecture for multi-robot localization and mapping in the Gazebo/Robot Operating System simulation environment." SIMULATION 93, no. 9 (June 6, 2017): 771–80. http://dx.doi.org/10.1177/0037549717710098.

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Robots are an important part of urban search and rescue tasks. World wide attention has been given to developing capable physical platforms that would be beneficial for rescue teams. It is evident that use of multi-robots increases the effectiveness of these systems. The Robot Operating System (ROS) is becoming a standard platform for the robotics research community for both physical robots and simulation environments. Gazebo, with connectivity to the ROS, is a three-dimensional simulation environment that is also becoming a standard. Several simultaneous localization and mapping algorithms ar
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Miele, Antonio, Christian Pilato, and Donatella Sciuto. "A Simulation-Based Framework for the Exploration of Mapping Solutions on Heterogeneous MPSoCs." International Journal of Embedded and Real-Time Communication Systems 4, no. 1 (January 2013): 22–41. http://dx.doi.org/10.4018/jertcs.2013010102.

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The efficient analysis and exploration of mapping solutions of a parallel application on a heterogeneous Multi-Processor Systems-on-Chip (MPSoCs) is usually a challenging task in system-level design, in particular when the architecture integrates hardware cores that may expose reconfigurable features. This paper proposes a system-level design framework based on SystemC simulations for fulfilling this task, featuring (i) an automated flow for the generation of timing models for the hardware cores starting from the application source code, (ii) an enhanced simulation environment for SystemC arch
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Mukundan, R., and S. S. Swamy. "A procedure for interactive simulation using mnemonic identifiers and index mapping functions." SIMULATION 55, no. 1 (July 1990): 39–46. http://dx.doi.org/10.1177/003754979005500108.

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Tafesse, Bisrat, and Venkatesan Muthukumar. "Framework for Simulation of Heterogeneous MpSoC for Design Space Exploration." VLSI Design 2013 (July 11, 2013): 1–16. http://dx.doi.org/10.1155/2013/936181.

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Due to the ever-growing requirements in high performance data computation, multiprocessor systems have been proposed to solve the bottlenecks in uniprocessor systems. Developing efficient multiprocessor systems requires effective exploration of design choices like application scheduling, mapping, and architecture design. Also, fault tolerance in multiprocessors needs to be addressed. With the advent of nanometer-process technology for chip manufacturing, realization of multiprocessors on SoC (MpSoC) is an active field of research. Developing efficient low power, fault-tolerant task scheduling,
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Ding, Hong-ming, and Yu-qiang Ma. "Design maps for cellular uptake of gene nanovectors by computer simulation." Biomaterials 34, no. 33 (November 2013): 8401–7. http://dx.doi.org/10.1016/j.biomaterials.2013.06.067.

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Sremcev, N., B. Stevanov, M. Lazarevic, J. Mandic, Z. Tesic, and B. Kuzmanovic. "Improving Process of Quotation Creation through Value Stream Mapping and Simulation." International Journal of Simulation Modelling 18, no. 4 (December 1, 2019): 563–73. http://dx.doi.org/10.2507/ijsimm18(4)484.

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MIHALAS, G. I., Z. SIMON, G. BALEA, and E. POPA. "POSSIBLE OSCILLATORY BEHAVIOR IN P53–MDM2 INTERACTION COMPUTER SIMULATION." Journal of Biological Systems 08, no. 01 (March 2000): 21–29. http://dx.doi.org/10.1142/s0218339000000031.

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Specific activator and repressor transcription factors, which bind to specific regulator DNA sequences, play an important role in gene activity control. Interactions between genes coding such transcription factors should explain the different stable or, sometimes, oscillatory gene activities characteristic for different tissues. A set of models has been built for several systems with interconnected genes and the results of the simulations performed for the p53–mdm2 are here presented and discussed.
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McCollum, James M., Gregory D. Peterson, Chris D. Cox, and Michael L. Simpson. "Accelerating Gene Regulatory Network Modeling Using Grid-Based Simulation." SIMULATION 80, no. 4-5 (May 2004): 231–41. http://dx.doi.org/10.1177/0037549704045051.

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Beran, V., P. Dlask, D. Eaton, E. Hromada, and O. Zindulka. "Mapping of synchronous activities through virtual management momentum simulation." Construction Innovation 11, no. 2 (April 19, 2011): 190–211. http://dx.doi.org/10.1108/14714171111124167.

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48

Sjöstrand, Joel, Lars Arvestad, Jens Lagergren, and Bengt Sennblad. "GenPhyloData: realistic simulation of gene family evolution." BMC Bioinformatics 14, no. 1 (2013): 209. http://dx.doi.org/10.1186/1471-2105-14-209.

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Ghazanfari, A., M. P. Rodriguez, E. Vigmond, and A. Nygren. "Computer Simulation of Cardiac Propagation: Effects of Fiber Rotation, Intramural Conductivity, and Optical Mapping." IEEE Transactions on Biomedical Engineering 61, no. 7 (July 2014): 2041–48. http://dx.doi.org/10.1109/tbme.2014.2311371.

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Sulistio, J., A. P. Hendradewa, and A. Nabila. "Productivity improvement of assembly department by using value stream mapping and computer simulation approach." IOP Conference Series: Materials Science and Engineering 673 (December 10, 2019): 012092. http://dx.doi.org/10.1088/1757-899x/673/1/012092.

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