Academic literature on the topic 'CNV'
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Journal articles on the topic "CNV"
Nurani, Ni Nyoman. "PENGARUH KOMPOSISI BAHAN BAKU MASSA COR CN (CN2, CN3, CN6, CN7, CN8) TERHADAP TEKNOLOGI PROSES DAN VARIABEL KEUANGAN PADA UPT PSTKP BALI-BPPT." Forum Manajemen 14, no. 1 (July 1, 2017): 39–57. http://dx.doi.org/10.61938/fm.v14i1.124.
Full textIRAWATI, WAHYU, NOMMENSEN PANGIHUTAN OMPUSUNGGU, DWI NINGSIH SUSILOWATI, and TRIWIBOWO YUWONO. "Molecular and physiological characterization of indigenous copper-resistant bacteria from Cikapundung River, West Java, Indonesia." Biodiversitas Journal of Biological Diversity 20, no. 2 (January 21, 2019): 344–49. http://dx.doi.org/10.13057/biodiv/d200206.
Full textVoykov, B., and F. Ziemssen. "Myope CNV." Klinische Monatsblätter für Augenheilkunde 228, no. 09 (September 2011): 762–70. http://dx.doi.org/10.1055/s-0031-1281583.
Full textVandeweyer, Geert, Edwin Reyniers, Wim Wuyts, Liesbeth Rooms, and R. Frank Kooy. "CNV-WebStore: Online CNV Analysis, Storage and Interpretation." BMC Bioinformatics 12, no. 1 (2011): 4. http://dx.doi.org/10.1186/1471-2105-12-4.
Full textBauer, Herbert, Charles Rebert, Christian Korunka, and Michael Leodolter. "Rare events and the CNV — the oddball CNV." International Journal of Psychophysiology 13, no. 1 (July 1992): 51–58. http://dx.doi.org/10.1016/0167-8760(92)90020-c.
Full textChen, Wei, Yubo Guan, Guanghui He, Zhiwei Li, Hui Song, Shiyong Xie, and Quanhong Han. "Aqueous Levels of Pigment Epithelium-Derived Factor and Macular Choroidal Thickness in High Myopia." Journal of Ophthalmology 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/731461.
Full textLee, Dong Hyun, Hyun Goo Kang, Sung Chul Lee, and Min Kim. "Features of optical coherence tomography predictive of choroidal neovascularisation treatment response in pathological myopia in association with fluorescein angiography." British Journal of Ophthalmology 102, no. 2 (June 9, 2017): 238–42. http://dx.doi.org/10.1136/bjophthalmol-2017-310244.
Full textForte, Raimondo, Florence Coscas, Rita Serra, Diogo Cabral, Donato Colantuono, and Eric H. Souied. "Long-term follow-up of quiescent choroidal neovascularisation associated with age-related macular degeneration or pachychoroid disease." British Journal of Ophthalmology 104, no. 8 (October 29, 2019): 1057–63. http://dx.doi.org/10.1136/bjophthalmol-2019-315189.
Full textRush, Ryan B., and Sloan W. Rush. "Evaluation of Idiopathic Choroidal Neovascularization with Indocyanine Green Angiography in Patients Undergoing Bevacizumab Therapy." Journal of Ophthalmology 2015 (2015): 1–5. http://dx.doi.org/10.1155/2015/642624.
Full textGong, Jingwen, Suqin Yu, Yuanyuan Gong, Fenghua Wang, and Xiaodong Sun. "The Diagnostic Accuracy of Optical Coherence Tomography Angiography for Neovascular Age-Related Macular Degeneration: A Comparison with Fundus Fluorescein Angiography." Journal of Ophthalmology 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/7521478.
Full textDissertations / Theses on the topic "CNV"
Lacinová, Michaela. "Detekce CNV v bakteriálních genomech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400996.
Full textPleskačová, Barbora. "Detekce CNV v sekvenačních datech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413021.
Full textXu, Xiao. "Human alpha defensin CNV haplotype diversity." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/51262/.
Full textTurbany, Oset Jaume. "Detección y análisis del componente endógeno CNV." Doctoral thesis, Universitat de Barcelona, 1992. http://hdl.handle.net/10803/2374.
Full textTodos los registros de fenómenos bioeléctricos realizados en el ser humano se enfrentan con un problema fundamental: la presencia de ruido acompañando a la señal eléctrica que se desea registrar. En el caso de los potenciales relacionados con el evento este problema resulta ser extremadamente complicado, debido a que la razón señal/ruido (SNR), o sea el cociente de las variabilidades presentadas por ambas, suele ser extremadamente bajo.
Tradicionalmente el aumento de la SNR se ha solventado registrando gran cantidad de ensayos individuales, y promediando los valores obtenidos en cada punto "t" de la serie temporal. Este procedimiento, comúnmente utilizado en la mayoría de laboratorios, presenta graves inconvenientes de aplicación por lo que respecta al complejo CNV. En primer lugar cabe destacar la importante contaminación que sufre este multicomponente como resultado de los movimientos oculares producidos por el sujeto (Hillyard y Galambos, 1970). Esto hace que, si el rechazo de los ensayos contaminados por artefactos se produce simultáneamente a la obtención del registro, pueda dilatarse excesivamente la sesión experimental, con objeto de conseguir un número de ensayos suficientes en base a los que poder obtener la estimación de la señal. La producción de un número excesivo de ensayos comporta, a su vez, fatiga en el sujeto, resultando de esta forma bastante difícil el registro de la señal en población psicopatológica o en niños y ancianos. Por otra parte, si la selección de ensayos libres de movimientos oculares u otros artefactos se realiza con posterioridad a la finalización de la sesión de registro, es posible que el número de ensayos finalmente seleccionados sea tan reducido que impida la correcta estimación de la señal mediante el promediado simple, puesto que no serán suficientes para magnificar de forma conveniente la SNR.
Siguiendo la sugerencia realizada por Tukey (1978), se propone en esta tesis la utilización, conjuntamente con el promediado, de alguna técnica de suavizado (Tukey, 1977; Velleman y Hoaglin, 1981). La aplicación de estas técnicas produce un cambio en la perspectiva de la estimación de la señal, sustituyendo el promediado transversal clásico que utiliza el promediado simple por otro longitudinal.
Las técnicas de suavizado utilizadas son las contempladas por el Análisis Exploratorio de Datos (EDA) y comparten, por tanto, sus propiedades y ventajas, que pueden resumirse en:
- sencillez de formalización
- utilización de índices resistentes y robustos
- análisis gráfico
- análisis de los residuales
La técnica se plantea conseguir una descripción simple de variable "v" (diferencia de potencial) en función del tiempo, descomponiéndose cada valor (Dato = Parte Suavizada + Parte Rugosa). La parte suavizada no pretende ser una descripción mediante una fórmula sino simplemente una curva alisada que recoja, a gran escala, la estructura de la secuencia de datos, y por consiguiente la parte rugosa sea un proceso aleatorio.
Este tipo de alisado aplicado a una secuencia de datos EEG actúa como un filtro de pasa-bajos, por lo tanto elimina los componentes que presentan frecuencias altas, siendo a nuestro entender este hecho lo que los hace especialmente adecuados para el análisis de componentes lentos como la CNV. Ciertamente este proceso dependerá básicamente de dos parámetros, la amplitud de ventana empleada y la ponderación de los elementos que la componen.
La utilización de las técnicas de suavizado, al actuar sobre las respuestas eléctricas de alta frecuencia, permite eliminar aquellos ensayos contaminados que no hayan sido mitigados mediante el uso del filtrado analógico, o cualquier otro método de rechazo de artefactos.
La aplicación de los alisadores se realizará de forma exploratoria, o sea, observando la actuación de diferentes tipos de éstos sobre la serie registrada. Esto no puede ser de otra forma debido a que no es conocida la función de transferencia que permitiría el cambio del análisis en el dominio del tiempo al dominio de la frecuencia, siendo ésta, en la actualidad, su principal limitación.
Se ha realizado una aplicación de las técnicas de suavizado a unos datos obtenidos en experimentos CNV y RP (Potencial de Preparación). Tanto en los experimentos CNV como los RP la aplicación combinada de alisadores y el promediado simple proporciona una estimación de la señal a partir de un reducido número de ensayos individuales, evitando de esta forma la aparición de los procesos de fatiga y habituación. Esta es una de las grandes ventajas en comparación con el promediado simple, que requiere un mayor número de ensayos para obtener una estimación similar.
Esta mejora en la estimación redundará en la de los posibles análisis realizados utilizando este componente corno variable dependiente, en estudios de relación con otras variables experimentales con las que puede encontrarse relacionado.
La utilización de alisadores demasiado fuertes, corno por ejemplo la regresión Lowess, afecta a componentes corno el P300 y el RP deformando excesivamente su estimación.
En el apéndice se realiza un estudio de simulación en el que parece confirmarse la mejora que supone la realización de un proceso de suavizado de forma complementaria al del promediado. En un primer estadio se constató que en caso de que las SNR se aproxime a la unidad, el suavizado consigue una correcta estimación utilizando únicamente un sólo ensayo, incluso con los alisadores considerados más blandos. Ciertamente, en el caso de los registros ERP no es frecuente encontrar SNR's tan elevadas, ni siquiera en el caso de la CNV, que quizás sea uno de los componentes en el cual ésta es de las más altas. Por este motivo se trabajó con una SNR más próxima a la que suele ser habitual en este tipo de macrocomponente. En esta situación se constató que, si bien la estimación en base al ensayo individual resultó muy deformada, sí que es posible la correcta detección de la señal en base a un menor número de ensayos, tanto si se suaviza el promedio de éstos, como si se calcula el promedio de los mismos ensayos previamente suavizados.
The classic CNV evoking experiment consists on the consecutive presentation of two stimuli. First advises the subject the forthcoming second stimulus, after which some kind of action has to be done, often motor (Walter et als., 1964). The registered electric wave in the interval between these two stimuli, by using scalp electrodes, is named as CNV macrocomponent.
Every bioelectric phenomena registered on the human being are confronted to a main problem: the presence of noise going along with the electric signal intended to register. Signal extraction from noise has been traditionally solved by registering a great number of individual trials and averaging the values obtained on each "t" point of the time series. This proceeding, commonly used on most laboratories, presents serious application problems on the CNV complex. Following Tukey's suggestions (1978), it is proposed on the thesis the use, along with averaging, of some smoothing technique (Tukey, 1977; Velleman & Hoaglin, 1981). These techniques application yields to a perspective change on the signal estimation, by substituting classic transversal averaging that uses simple averaging, by a longitudinal one.
In the thesis it has been done an application of smoothing techniques to a data obtained on CNV and RP (Readiness Potential) experiments. On both, combined application of smoothing and simple averaging offers an signal estimation from a reduced number of individual trials, avoiding in such a way the fatigue and habituation processes. Is this one of the major advantages comparing to the simple averaging that needs a great number of trials to obtain a similar estimation.
Berglin, Lennart. "Choroidal neovascularization (CNV) : clinical and experimental aspects /." Stockholm, 2002. http://diss.kib.ki.se/2002/91-7349-284-1/.
Full textWaisman, Rogeria. "Paraphilias in males : visual and auditory CNV studies." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419803.
Full textATHANASAKIS, EMMANOUIL. "Valutazione del background genetico di una coorte di individui dislessici mediante l'utilizzo di tecnologie ad alta processività." Doctoral thesis, Università degli Studi di Trieste, 2018. http://hdl.handle.net/11368/2922687.
Full textTechnological improvements and continued cost reduction have significantly contributed to the progress of identifying the genetic causes of complex traits. Here we report the results of a genetic screening on a dyslexia cohort combining targeted next generation sequencing and high density SNP array. The study cohort consists of 49 subjects with dyslexia and 52 subjects with dyslexia and other specific learning disabilities (dysorthographia, dysgraphia, dyscalculia). All samples were sequenced on Ion Torrent platform, targeting the coding regions and their exone-intron boundaries of 12 candidate dyslexia genes (CMIP, CNTNAP2, CYP19A1, DCDC2, DIP2A, DYX1C1, GCFC2, KIAA0319, KIAA0319L, MRPL19, ROBO1, S100B), with focus on novel and rare variants. A subset of 54 samples was further analyzed, genotyping over 1.7 M markers (Multi Ethnic Global Array design, Ilumina), for copy number variation (CNV) discovery and characterization according to the literature. For this purpose, high confidence CNVs were obtained using the cnvPartition and the PennCNV calling algorithms. We report a total of 12 pathogenic predicted variants, among which two novel deleterious events (DIP2A:p.G1387* and KIAA0319:p.V774Afs*37) and a known rare splicing variant (GCFC2:c.266-2A>G). Moreover, several copy number variants were identified, overlapping some language related genes, but not any of the above sequenced genes. Finally, a sibling pair was found to harbor duplications in the chromosome band 16p13.11, a susceptibility region for several neurodevelopmental disorders. The present study enriches our knowledge about the genetic background in a dyslexia cohort. At the same time our findings emphasize the need for further research to attribute causative roles of these events for cohort phenotypes.
Santos, Alexsandro dos. "SNP arrays na detecção de alterações estruturais e no número de cópias em pacientes portadores de deficiência intelectual idiopática." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/41/41131/tde-12072017-082102/.
Full textIntellectual disability (ID) is a complex and heterogeneous condition affecting about 1-3% of the general population. Chromosomal imbalances and copy-number variations (CNVs) have been recognized as the most frequent causes of ID and, until recently, most of these imbalances were diagnosed by cytogenetic analysis. Before the application of microarray analysis (CMA), the underlying cause of ID remains unknown in ~60% of patients. The use of CMA has revolutionized the diagnosis of ID and several other congenital disorders, and have made it possible to identify pathogenic CNVs that could explain the molecular etiology of ID. In developed countries, CMA is considered the first-tier technique for the analysis of patients with multiple congenital anomalies, ID, and/or autism spectrum disorders. However, in developing nations, detection of alterations is still performed mainly by conventional cytogenetic techniques. The aim of this study was identifying, using a high-density resolution SNP microarray, chromosomal imbalances in a total of 40 patients presented with moderate-to-severe ID, associated or not with dysmorphic features and congenital anomalies. Particularly, most of the patients in the cohort (~2/3) was not karyotyped previously. Although CMA has been recommended as the first-tier test since 2010 all over the world, the majority of the patients in the reported studies were karyotyped before CMA was offered as a diagnostic test. Rare CNVs were detected in 18 patients (45%). Among those patients, 12 (30%) carried pathogenic CNVs. This yield is much higher than reported in the literature (~20%), and possible causes for this discrepancy are discussed. Six patients (15%) carried variant of unknown significance (VUS). Furthermore, mechanisms involved in structural rearrangements found in some patients were investigated. Even though the main focus of this dissertation was the detection of CNVs using high resolution SNP arrays, throughout the course of this project it was clear that the SNP patterns found could reveal crucial information about the structure of chromosomes and the heterogeneous composition of cells (mosaicism). Those results are discussed in detail in two situations: (1) One description of a terminal 1p36 deletion, associated with mosaic uniparental disomy (UPD) of different sized 1pter segments. We hypothesized that this composition reflects recurrent telomere capture events, although a similar process has never been described so far, and proposed a possible mechanism responsible for originating this complex imbalance. (2) Three of our patients carried four copies or a four-three copies-combination of a proximal, partially overlapping, 15q11q13 segment. Possible mechanisms responsible for this complex rearrangement are discussed
Connolly, Kate. "The role of genomic Copy Number Variation (CNV) in osteoporosis." Thesis, Connolly, Kate (2012) The role of genomic Copy Number Variation (CNV) in osteoporosis. Honours thesis, Murdoch University, 2012. https://researchrepository.murdoch.edu.au/id/eprint/12018/.
Full textJo, Adrienne. "Reduced Expression of Single 16p11.2 CNV Genes Alters Neuronal Morphology." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2091.
Full textBooks on the topic "CNV"
Vos, Kees de, joint author, ed. CNV werkt: Werken aan toekomst. Utrecht: CNV BedrijvenBond, 2009.
Find full textDijk, Jan Jacob van. Door geweld gedwongen: Het CNV in oorlogstijd. Utrecht: Vakcentrale CNV, 1996.
Find full textVeen, Gerrita van der. Tussen overleg en strijd: CNV en collectieve acties. Kampen: J.H. Kok, 1990.
Find full textWim, Berkelaar, ed. Inventaris van de archieven van de Voedingsbond CNV en voorlopers (1894-) 1898-1983 (-1996). Amsterdam: Stichting beheer IISG, 2000.
Find full textWim, Berkelaar, ed. Inventaris van de archieven van de industriebond CNV en voorlopers 1890-1983 (-1996). Amsterdam: Stichting Beheer IISG, 2000.
Find full textVoor het volk om Christus' wil: Een geschiedenis van het CNV. Hilversum: Verloren, 2009.
Find full textHazenbosch, Piet. Voor het volk om Christus' wil: Een geschiedenis van het CNV. Hilversum: Verloren, 2009.
Find full textYe, Shufang (ji du jiao zuo zhe), wen zi zuo zhe, Zhang, Yongshu, wen zi zuo zhe, Zheng, Zilin, wen zi zuo zhe, Mai Mingqi yi zhe, Zhong Bishan yi zhe, Mai, Zhixiong, yi shu chuang zuo zhe, and Zhao, Lelin, yi shu chuang zuo zhe, eds. Er tong pin ge sheng jing: Xin yue pian : The CNV kid's bible : a character builder : new testament stories. [Xiang gang]: [Huan qiu sheng jing gong hui], 2012.
Find full textMueller, John. The Novell CNA/CNE study guide. 2nd ed. New York: McGraw-Hill, 1996.
Find full textBook chapters on the topic "CNV"
Kim, Ju Han. "CNV Analysis." In Genome Data Analysis, 299–312. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1942-6_17.
Full textWyandt, Herman E., Golder N. Wilson, and Vijay S. Tonk. "A CNV Catalogue." In Human Chromosome Variation: Heteromorphism, Polymorphism and Pathogenesis, 235–417. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3035-2_10.
Full textArevalo, J. Fernando. "CNV After LASIK." In Difficult and Complicated Cases in Refractive Surgery, 451–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55238-0_97.
Full textSalem, Rany M., and Laura Rodriguez-Murillo. "Copy Number Variant (CNV)." In Encyclopedia of Behavioral Medicine, 500–501. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_682.
Full textBauer, Herbert. "Determinants of CNV Amplitude." In Slow Potential Changes in the Brain, 45–61. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4757-1379-4_4.
Full textFattapposta, Francesco, Caterina Pauletti, Daniela Mannarelli, Vilfredo De Pascalis, Joseph Ciorciari, David Crewther, David White, and Gennady Knyazev. "Contingent Negative Variation (CNV)." In Neuromethods, 23–32. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3545-2_2.
Full textSalem, Rany M., and Laura Rodriguez-Murillo. "Copy Number Variant (CNV)." In Encyclopedia of Behavioral Medicine, 555. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_682.
Full textGiri, Prerna, and Bhagyalaxmi Mohapatra. "Copy Number Variant (CNV)." In Encyclopedia of Animal Cognition and Behavior, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_8-1.
Full textBhende, Muna, and Arshee S. Ahmed. "Management of Inflammatory CNV." In Uveitis: An Update, 109–17. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2295-8_12.
Full textGiri, Prerna, and Bhagyalaxmi Mohapatra. "Copy Number Variant (CNV)." In Encyclopedia of Animal Cognition and Behavior, 1714–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_8.
Full textConference papers on the topic "CNV"
Singh, Salvi, and Nancy Lan Guo. "Genet-CNV." In BCB '18: 9th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3233547.3233652.
Full textOnsongo, Getiria, Ham Ching Lam, Matthew Bower, and Bharat Thyagarajan. "Hadoop-CNV-RF." In BCB '20: 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388440.3414861.
Full textPires, Sergio Fernandes Senna. "Compreendendo a comunicação não-verbal: Aplicações na área da saúde." In III SEVEN INTERNATIONAL CONGRESS OF HEALTH. Seven Congress, 2023. http://dx.doi.org/10.56238/homeiiisevenhealth-009.
Full textSalmi, Ayyoub, Sara El Jadid, Ismail Jamail, Taoufik Bensellak, Romain Philippe, Veronique Blanquet, and Ahmed Moussa. "CNV-LDC: An Optimized CNV Detection Method for Low Depth of Coverage Data." In 8th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006111600370042.
Full textEisner, Ann E., M. Elizabeth Hartnett, John J. Weiter, Sheldon M. Buzney, and Stephen A. Bums. "Advantages of Infrared Imaging in Detecting Choroidal New Vessels." In Vision Science and its Applications. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/vsia.1995.sua1.
Full textAhmed, Umayr, Van Phuc Nguyen, Josh Zhe, Justin Hu, Jessica Henry, Xueding Wang, and Yannis M. Paulus. "Combination of Photoacoustic and Optical Coherence Tomography imaging modalities for visualization of Laser induced Choroidal Neovascularization Progression in Pigmented Rabbits." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/fio.2023.jm4a.89.
Full textAjisebutu, Andrew, Jeffery Zucatto, Vikas Patil, and Gelareh Zadeh. "DNA Methylation Subgroup and CNV Predict Response to Radiotherapy." In 33rd Annual Meeting North American Skull Base Society. Georg Thieme Verlag KG, 2024. http://dx.doi.org/10.1055/s-0044-1779839.
Full textLande, Anil R., Sangameshwar S. Pendalwar, and Sandeep V. Paranjape. "Improved Covering Blanket method for Choroidal Neovascularization (CNV) texture quantification." In 2015 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2015. http://dx.doi.org/10.1109/conecct.2015.7383939.
Full textIizuka, Hiroyuki, Mika Sunagawa, Masataka Niwa, Hideyuki Ando, and Taro Maeda. "Detecting CNV-like variation when remembering and generating continuous motion." In 2013 IEEE Virtual Reality (VR). IEEE, 2013. http://dx.doi.org/10.1109/vr.2013.6549429.
Full textRicatto, Mattia, Marco Barsacchi, and A. Bechini. "Interpretable CNV-based tumour classification using fuzzy rule based classifiers." In SAC 2018: Symposium on Applied Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3167132.3167135.
Full textReports on the topic "CNV"
Seroussi, Eyal, and George Liu. Genome-Wide Association Study of Copy Number Variation and QTL for Economic Traits in Holstein Cattle. United States Department of Agriculture, September 2010. http://dx.doi.org/10.32747/2010.7593397.bard.
Full textChejanovsky, Nor, and Bruce A. Webb. Potentiation of pest control by insect immunosuppression. United States Department of Agriculture, July 2004. http://dx.doi.org/10.32747/2004.7587236.bard.
Full textBrowne, Kevin Patrick. CNA Seminar. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1223767.
Full textMcCaffrey, Trevor, and Gordon T. Richards. CIV Distance. GitHub, October 2021. http://dx.doi.org/10.17918/civdistance.
Full textGilreath, Jason M., and David Filsinger. Design and Prototype of the ATCOM Shipping and Storage Containers CNU-582/E, CNU-583/E, CNU-584/E and CNU-585/E,. Fort Belvoir, VA: Defense Technical Information Center, April 1997. http://dx.doi.org/10.21236/ada325449.
Full textWhite, Corina, Amanda Marshall, Ilse Zainos, Caroline Becker, Kristina Kopp, Sivashankar Sivashankar Sivakollundu, Ian Brown, et al. CPV and APR. BioPhorum, June 2021. http://dx.doi.org/10.46220/2021ds002.
Full textWang, Li Fang, Yan Ting Cao, Tegeleqi Bu, Lin Fu, Jun Li Liu, and Jing Zhao. Do We Receive Cytomegalovirus Vaccination Before Solid Organ Transplant: a Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0143.
Full textMeyer, Chris. CVN 78 Gerald R. Ford Class Nuclear Aircraft Carrier (CVN 78). Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada613351.
Full textMeyer, Chris. CVN 78 Gerald R. Ford Class Nuclear Aircraft Carrier (CVN 78). Fort Belvoir, VA: Defense Technical Information Center, November 2015. http://dx.doi.org/10.21236/ad1019138.
Full textAdams, Edward L., Everette D. Rast, and Neal D. Bennett. CNC router evaluation procedures. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1995. http://dx.doi.org/10.2737/ne-gtr-201.
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