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Relevant bibliographies by topics / Interval mapping

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Academic literature on the topic 'Interval mapping'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Interval mapping"

1

Mayer, M. "A comparison of regression interval mapping and multiple interval mapping for linked QTL." Heredity 94, no. 6 (2005): 599–605. http://dx.doi.org/10.1038/sj.hdy.6800667.

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Visscher, Peter M., Robin Thompson, and Chris S. Haley. "Confidence Intervals in QTL Mapping by Bootstrapping." Genetics 143, no. 2 (1996): 1013–20. http://dx.doi.org/10.1093/genetics/143.2.1013.

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Abstract The determination of empirical confidence intervals for the location of quantitative trait loci (QTLs) was investigated using simulation. Empirical confidence intervals were calculated using a bootstrap resampling method for a backcross population derived from inbred lines. Sample sizes were either 200 or 500 individuals, and the QTL explained 1,5, or 10% of the phenotypic variance. The method worked well in that the proportion of empirical confidence intervals that contained the simulated QTL was close to expectation. In general, the confidence intervals were slightly conservatively

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BENOIT, ANNE, YVES ROBERT, and ERIC THIERRY. "ON THE COMPLEXITY OF MAPPING LINEAR CHAIN APPLICATIONS ONTO HETEROGENEOUS PLATFORMS." Parallel Processing Letters 19, no. 03 (2009): 383–97. http://dx.doi.org/10.1142/s0129626409000298.

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In this paper, we explore the problem of mapping linear chain applications onto large-scale heterogeneous platforms. A series of data sets enter the input stage and progress from stage to stage until the final result is computed. An important optimization criterion that should be considered in such a framework is the latency, or makespan, which measures the response time of the system in order to process one single data set entirely. For such applications, which are representative of a broad class of real-life applications, we can consider one-to-one mappings, in which each stage is mapped ont

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Jorba, Lambert, and Romà Adillon. "Interval Fuzzy Segments." Symmetry 10, no. 8 (2018): 309. http://dx.doi.org/10.3390/sym10080309.

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In this paper, we bring together two concepts related to uncertainty and vagueness: fuzzy numbers and intervals. With them, we build a new structure whose elements we call interval fuzzy segments. We have undertaken this based on the conviction that the fuzzy numbers are a correct representation of the real numbers under situations of indeterminacy. We also believe that if it makes sense to consider the set of real numbers between two real bounds, then it also makes sense to consider the set of all the fuzzy numbers between two fuzzy number bounds. In this way, we extend the concept of real in

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Li, Jian, Shengchu Wang, and Zhao-Bang Zeng. "Multiple-Interval Mapping for Ordinal Traits." Genetics 173, no. 3 (2006): 1649–63. http://dx.doi.org/10.1534/genetics.105.054619.

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Jansen, R. C. "Interval mapping of multiple quantitative trait loci." Genetics 135, no. 1 (1993): 205–11. http://dx.doi.org/10.1093/genetics/135.1.205.

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Abstract The interval mapping method is widely used for the mapping of quantitative trait loci (QTLs) in segregating generations derived from crosses between inbred lines. The efficiency of detecting and the accuracy of mapping multiple QTLs by using genetic markers are much increased by employing multiple QTL models instead of the single QTL models (and no QTL models) used in interval mapping. However, the computational work involved with multiple QTL models is considerable when the number of QTLs is large. In this paper it is proposed to combine multiple linear regression methods with conven

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Matsuda, Hirokazu, and Hiroaki Iwaisaki. "A comparison of interval mapping procedures including the QTL-cluster mapping." Genes & Genetic Systems 80, no. 1 (2005): 71–77. http://dx.doi.org/10.1266/ggs.80.71.

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Kao, Chen-Hung, Zhao-Bang Zeng, and Robert D. Teasdale. "Multiple Interval Mapping for Quantitative Trait Loci." Genetics 152, no. 3 (1999): 1203–16. http://dx.doi.org/10.1093/genetics/152.3.1203.

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Abstract A new statistical method for mapping quantitative trait loci (QTL), called multiple interval mapping (MIM), is presented. It uses multiple marker intervals simultaneously to fit multiple putative QTL directly in the model for mapping QTL. The MIM model is based on Cockerham's model for interpreting genetic parameters and the method of maximum likelihood for estimating genetic parameters. With the MIM approach, the precision and power of QTL mapping could be improved. Also, epistasis between QTL, genotypic values of individuals, and heritabilities of quantitative traits can be readily

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9

Doerge, R. W., and Ahmed Rebaï. "Significance thresholds for QTL interval mapping tests." Heredity 76, no. 5 (1996): 459–64. http://dx.doi.org/10.1038/hdy.1996.68.

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Korol, A. B., Y. I. Ronin, E. Nevo, and P. M. Hayes. "Multi-interval mapping of correlated trait complexes." Heredity 80, no. 3 (1998): 273–84. http://dx.doi.org/10.1046/j.1365-2540.1998.00253.x.

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Dissertations / Theses on the topic "Interval mapping"

1

Cui, Yan. "Interval analysis techniques for field mapping and geolocation." Thesis, Purdue University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10151584.

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<p> Field mapping and estimation become a challenging problem, with their various applications on non-linear estimation, geolocation, and positioning systems. In this research, we develop novel algorithms based on interval analysis and introduce a solution for autonomous map construction, field mapping, geolocation, and simultaneous localization and mapping (SLAM), providing applications on indoor geolocation and other potential areas. </p><p> Generally, the localization algorithm includes a quasi-state estimation and a dynamic estimation. Quasi-static estimation collects each single measure

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Joehanes, Roby. "Multiple-trait multiple-interval mapping of quantitative-trait loci." Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1605.

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Cui, Jing. "Boundary Controllability and Stabilizability of Nonlinear Schrodinger Equation in a Finite Interval." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77506.

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The dissertation focuses on the nonlinear Schrodinger equation iu_t+u_{xx}+kappa|u|^2u =0, for the complex-valued function u=u(x,t) with domain t>=0, 0<=x<= L, where the parameter kappa is any non-zero real number. It is shown that the problem is locally and globally well-posed for appropriate initial data and the solution exponentially decays to zero as t goes to infinity under the boundary conditions u(0,t) = beta u(L,t) and beta u_x(0,t)-u_x(L,t) = ialpha u(0,t), where L>0, and alpha and beta are any real numbers satisfying alpha*beta<0 and beta does not equal 1 or -1. Moreover, the numeri

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Pita, Fabiano Veraldo da Costa. "Construction of the gametic covariance matrix for quantitative trait loci analyses in outbred populations." Universidade Federal de Viçosa, 2003. http://www.locus.ufv.br/handle/123456789/10501.

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Submitted by Marco Antônio de Ramos Chagas (mchagas@ufv.br) on 2017-06-02T16:19:15Z No. of bitstreams: 1 texto completo.pdf: 390406 bytes, checksum: ccedce081a84047d48e29f58c45f1176 (MD5)<br>Made available in DSpace on 2017-06-02T16:19:15Z (GMT). No. of bitstreams: 1 texto completo.pdf: 390406 bytes, checksum: ccedce081a84047d48e29f58c45f1176 (MD5) Previous issue date: 2003-09-05<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>A aplicação de análises de “Quantitative Trait Loci” (QTL) em populações exogâmicas é desafiadora porque pressuposições simplificadoras não pod

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Guo, Zhigang. "Novel methods for increasing efficiency of quantitative trait locus mapping." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/374.

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Wong, Kyle. "Mapping the Neural Circuits That Modulates the Molecular Switch Between Alternative Interval Timing Behaviours in Drosophila Melanogaster." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40081.

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Neuropeptides are central modulators of many functions including male-specific mating behaviours. Understanding how these chemical messengers modulate the neural substrates are still not well understood but remains important for biological research. In Drosophila melanogaster, two well-defined microcircuits (Longer-Mating-Duration (LMD) and Shorter-Mating-Duration (SMD)), are used to understand the underlying mechanisms of how neuropeptide interactions modulate temporal information in mating behaviours. In our study, we investigated the influence of SIFamide receptor-mediated signaling and its

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Wang, Zhan. "Guaranteed Localization and Mapping for Autonomous Vehicles." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS395.

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Avec le développement rapide et les applications étendues de la technologie de robot, la recherche sur le robot mobile intelligent a été programmée dans le plan de développement de haute technologie dans beaucoup de pays. La navigation autonome joue un rôle de plus en plus important dans le domaine de recherche du robot mobile intelligent. La localisation et la construction de cartes sont les principaux problèmes à résoudre par le robot pour réaliser une navigation autonome. Les techniques probabilistes (telles que le filtre étendu de Kalman et le filtre de particules) ont longtemps été utilis

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Toledo, Elisabeth Regina de. "Mapeamento de QTLs utilizando as abordagens Clássica e Bayesiana." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-14112006-134805/.

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A produção de grãos e outros caracteres de importância econômica para a cultura do milho, tais como a altura da planta, o comprimento e o diâmetro da espiga, apresentam herança poligênica, o que dificulta a obtenção de informações sobre as bases genéticas envolvidas na variação desses caracteres. Associações entre marcadores e QTLs foram analisadas através dos métodos de mapeamento por intervalo composto (CIM) e mapeamento por intervalo Bayesiano (BIM). A partir de um conjunto de dados de produção de grãos, referentes à avaliação de 256 progênies de milho genotipadas para 139 marcadores molecu

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Desrochers, Benoît. "Simultaneous localization and mapping in unstructured environments : a set-membership approach." Thesis, Brest, École nationale supérieure de techniques avancées Bretagne, 2018. http://www.theses.fr/2018ENTA0006/document.

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Cette thèse étudie le problème de la localisation et de la cartographie simultanée (SLAM), dans des environnements non structurés, c'est-à-dire, qui ne peuvent pas être décrits par des équations ou des formes géométriques. Ces types d'environnements sont souvent rencontrés dans le domaine sous-marin. Contrairement aux approches classiques, l'environnement n'est pas modélisé par une collection de descripteurs ou d'amers ponctuels, mais directement par des ensembles. Ces ensembles, appelés forme ou shape, sont associés à des caractéristiques physiques de l'environnement, comme par exemple, des t

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Schweizer, Justine. "Investigation of the Decision-Making and Time-Keeping Abilities of SIFamide Signalling in Drosophila Melanogaster." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36849.

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Drosophila melanogaster is an invaluable model organism for the study of basic neuroscience. Using two previously characterized mating behaviours (Longer- and Shorter-Mating Duration), this research aims to further our knowledge of the neural circuit involved in each, and shed light on the mechanism by which four SIFamide producing neurons are involved in both. We also seek to investigate the involvement of core circadian clock genes in interval timing mechanisms. To do so, we investigated the populations of SIFamide receptor expressing neurons necessary for each behaviour and studied the cont

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Books on the topic "Interval mapping"

1

Balce, A. E. Determination of optimum sampling interval in DEM data acquisition: A guide for users. Alberta Forestry, 1986.

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Schnabel, Albrecht. Mapping Evolving Internal Roles of the Armed Forces. Ubiquity Press, 2012.

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Preston, Christopher J. Iterates of piecewise monotone mappings on an interval. Universität Bielefeld, Schwerpunkt Mathematisierung, 1987.

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Preston, Christopher J. Iterates of piecewise monotone mappings on an interval. Springer-Verlag, 1988.

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Preston, Chris. Iterates of Piecewise Monotone Mappings on an Interval. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0079769.

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Zbigniew, Nitecki, ed. Combinatorial patterns for maps of the interval. American Mathematical Society, 1991.

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Dynamical zeta functions for piecewise monotone maps of the interval. American Mathematical Society, 1994.

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1939-, Read Andrew P., ed. Molecular basis of inherited disease. 2nd ed. IRL Press at Oxford University Press, 1992.

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9

Davies, K. E. Molecular basis of inherited disease. IRL Press, 1988.

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10

Szegö, Janos. Mapping hidden dimensions of the urban scene: Modelling the cartographic anatomy and internal dynamics of growing towns and cities for application in urban and regional planning and in environmental analysis. Swedish Council for Building Research, 1994.

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Book chapters on the topic "Interval mapping"

1

Xu, Shizhong. "Interval Mapping." In Principles of Statistical Genomics. Springer New York, 2012. http://dx.doi.org/10.1007/978-0-387-70807-2_9.

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Miller, John M., Rahul Jain, Gopi Dandamudi, Seeongwook Han, and Thomas R. Kambur. "The Problematic Postpacing Interval." In Cardiac Mapping. John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119152637.ch56.

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Sommer, Philipp, and Christopher Piorkowski. "Three-Dimensional Post-Pacing Interval Mapping of Left Atrial Tachycardia." In Cardiac Mapping. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118481585.ch25.

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Xu, Shizhong. "Interval Mapping for Ordinal Traits." In Principles of Statistical Genomics. Springer New York, 2012. http://dx.doi.org/10.1007/978-0-387-70807-2_10.

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Silva, Luciano Da Costa E., Shengchu Wang, and Zhao-Bang Zeng. "Composite Interval Mapping and Multiple Interval Mapping: Procedures and Guidelines for Using Windows QTL Cartographer." In Methods in Molecular Biology. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-785-9_6.

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Eriksson, Johannes, and Masoumeh Parsa. "A DSL for Integer Range Reasoning: Partition, Interval and Mapping Diagrams." In Practical Aspects of Declarative Languages. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39197-3_13.

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Hung, Che-Lun, Chun-Yuan Lin, and Yu-Chen Hu. "UNION: An Efficient Mapping Tool Using UniMark with Non-overlapping Interval Indexing Strategy." In Database Theory and Application, Bio-Science and Bio-Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27157-1_21.

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Sheng, Xiaona, Weijun Ma, and Ying Zhou. "Joint Estimation of QTL Positions and Effects in Multiple-Interval Mapping for Count Trait." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45049-9_60.

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Zhang, Yuan-Ming. "Genome-Wide Composite Interval Mapping (GCIM) of Expressional Quantitative Trait Loci in Backcross Population." In Methods in Molecular Biology. Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0026-9_5.

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Pian, Weiguo, Yingbo Wu, and Ziyi Kou. "STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction." In From Data to Models and Back. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70650-0_3.

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Conference papers on the topic "Interval mapping"

1

Vasiljevic, I., and J. Milovac. "Interval density mapping for thick layers." In Geophysics of the 21st Century - The Leap into the Future. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.38.f057.

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Saraev, Paval, Alexander Galkin, and Artem Miroshnikov. "Interval Data Type Creation with Object-Relational Mapping." In 2019 International Russian Automation Conference. IEEE, 2019. http://dx.doi.org/10.1109/rusautocon.2019.8867617.

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Rauschenberger, Axel, and Bernardo Wagner. "Interval-based Sound Source Mapping for Mobile Robots." In 17th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009832803350345.

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Vincke, Bastien, Alain Lambert, and Abdelhafid Elouardi. "Guaranteed simultaneous localization and mapping algorithm using interval analysis." In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV). IEEE, 2014. http://dx.doi.org/10.1109/icarcv.2014.7064522.

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Rathgeb, C., and A. Uhl. "An iris-based Interval-Mapping scheme for Biometric Key generation." In 2009 6th International Symposium on Image and Signal Processing and Analysis. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.5297681.

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Druzhinin, A. B. "Rapid Image-Ray Inverse Data Mapping without Using an Interval Velocity Model." In 64th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2002. http://dx.doi.org/10.3997/2214-4609-pdb.5.e017.

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Mollah, Md Nurul Haque, and Shinto Eguchi. "Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method." In 2008 IEEE International Conference on Bioinformatics and Biomedicine. IEEE, 2008. http://dx.doi.org/10.1109/bibm.2008.43.

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Lescano, Sergio, Micky Rakotondrabe, and Nicolas Andreff. "Precision prediction using interval exponential mapping of a parallel kinematic smart composite microstructure." In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7353640.

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Langfield, Peter, Josselin Duchateau, Richard Walton, et al. "Validation of Activation Recovery Interval in Structurally Normal Human Ventricles by Optical Mapping." In 2018 Computing in Cardiology Conference. Computing in Cardiology, 2018. http://dx.doi.org/10.22489/cinc.2018.132.

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Sheng and Zhi-yong. "A new incidence Degree Model of Interval Grey Number based on space mapping." In 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management. IEEE, 2011. http://dx.doi.org/10.1109/icieem.2011.6035093.

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Reports on the topic "Interval mapping"

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Ruiz, Pablo, Craig Perry, Alejando Garcia, et al. The Everglades National Park and Big Cypress National Preserve vegetation mapping project: Interim report—Northwest Coastal Everglades (Region 4), Everglades National Park (revised with costs). National Park Service, 2020. http://dx.doi.org/10.36967/nrr-2279586.

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The Everglades National Park and Big Cypress National Preserve vegetation mapping project is part of the Comprehensive Everglades Restoration Plan (CERP). It is a cooperative effort between the South Florida Water Management District (SFWMD), the United States Army Corps of Engineers (USACE), and the National Park Service’s (NPS) Vegetation Mapping Inventory Program (VMI). The goal of this project is to produce a spatially and thematically accurate vegetation map of Everglades National Park and Big Cypress National Preserve prior to the completion of restoration efforts associated with CERP. T

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Alford, Matthew H. Global Mapping of Near-inertial and Tidal Internal Wave Propagation. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada626455.

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Alford, Matthew H. Global Mapping of Near-inertial and Tidal Internal Wave Propagation. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada629216.

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Hall, David W., and D. R. Cozad. Software Requirements Specification for the Mapping and Graphic Information Capability (MAGIC). Volume 7. Internal Processing CSCI. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada231755.

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Yusgiantoro, Luky A., Akhmad Hanan, Budi P. Sunariyanto, and Mayora B. Swastika. Mapping Indonesia’s EV Potential in Global EV Supply Chain. Purnomo Yusgiantoro Center, 2021. http://dx.doi.org/10.33116/br.004.

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• Energy transition in the transportation sector is indicated by the gradual shifting from the use of internal combustion engine (ICE) vehicles to electric vehicles (EVs) globally. • The transportation sector consumed 43% of total global energy and emitted 16.2% of total global emissions in 2020. Similarly, the transportation sector in Indonesia consumed 45% of the total energy and contributed to 13.6% of CO2 emission in 2019. • Global EV development and utilization are increasing exponentially, especially in developed countries, and there were 10 million EVs in 2020 worldwide. • China has suc

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