Auswahl der wissenschaftlichen Literatur zum Thema „Gene-For-Gene interaction“
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Zeitschriftenartikel zum Thema "Gene-For-Gene interaction"
Wang, Yaping, Donghui Li und Peng Wei. „Powerful Tukey's One Degree-of-Freedom Test for Detecting Gene-Gene and Gene-Environment Interactions“. Cancer Informatics 14s2 (Januar 2015): CIN.S17305. http://dx.doi.org/10.4137/cin.s17305.
Der volle Inhalt der QuelleZhang, Jigang, Jian Li und Hong-Wen Deng. „Identifying Gene Interaction Enrichment for Gene Expression Data“. PLoS ONE 4, Nr. 11 (30.11.2009): e8064. http://dx.doi.org/10.1371/journal.pone.0008064.
Der volle Inhalt der QuelleMechanic, Leah E., Brian T. Luke, Julie E. Goodman, Stephen J. Chanock und Curtis C. Harris. „Polymorphism Interaction Analysis (PIA): a method for investigating complex gene-gene interactions“. BMC Bioinformatics 9, Nr. 1 (2008): 146. http://dx.doi.org/10.1186/1471-2105-9-146.
Der volle Inhalt der QuelleZhou, R., M. Wang, W. Li, S. Wang, Z. Zhou, J. Li, T. Wu, H. Zhu und T. H. Beaty. „Gene-Gene Interactions among SPRYs for Nonsyndromic Cleft Lip/Palate“. Journal of Dental Research 98, Nr. 2 (01.10.2018): 180–85. http://dx.doi.org/10.1177/0022034518801537.
Der volle Inhalt der QuelleZhou, Xiangdong, Keith C. C. Chan, Zhihua Huang und Jingbin Wang. „Determining dependency and redundancy for identifying gene–gene interaction associated with complex disease“. Journal of Bioinformatics and Computational Biology 18, Nr. 05 (Oktober 2020): 2050035. http://dx.doi.org/10.1142/s0219720020500353.
Der volle Inhalt der QuelleSa, Jian, Xu Liu, Tao He, Guifen Liu und Yuehua Cui. „A Nonlinear Model for Gene-Based Gene-Environment Interaction“. International Journal of Molecular Sciences 17, Nr. 6 (04.06.2016): 882. http://dx.doi.org/10.3390/ijms17060882.
Der volle Inhalt der QuelleChen, Zhongxue. „Testing for gene-gene interaction in case-control GWAS“. Statistics and Its Interface 10, Nr. 2 (2017): 267–77. http://dx.doi.org/10.4310/sii.2017.v10.n2.a10.
Der volle Inhalt der QuelleCorvol, Harriet, Anthony De Giacomo, Celeste Eng, Max Seibold, Elad Ziv, Rocio Chapela, Jose R. Rodriguez-Santana et al. „Genetic ancestry modifies pharmacogenetic gene–gene interaction for asthma“. Pharmacogenetics and Genomics 19, Nr. 7 (Juli 2009): 489–96. http://dx.doi.org/10.1097/fpc.0b013e32832c440e.
Der volle Inhalt der QuelleSong, Minsun, und Dan L. Nicolae. „Restricted parameter space models for testing gene-gene interaction“. Genetic Epidemiology 33, Nr. 5 (Juli 2009): 386–93. http://dx.doi.org/10.1002/gepi.20392.
Der volle Inhalt der QuelleLi, Qing, Yoonhee Kim, Bhoom Suktitipat, Jacqueline B. Hetmanski, Mary L. Marazita, Priya Duggal, Terri H. Beaty und Joan E. Bailey-Wilson. „Gene-Gene Interaction AmongWNTGenes for Oral Cleft in Trios“. Genetic Epidemiology 39, Nr. 5 (06.02.2015): 385–94. http://dx.doi.org/10.1002/gepi.21888.
Der volle Inhalt der QuelleDissertationen zum Thema "Gene-For-Gene interaction"
Assareh, Amin. „OPTIMIZING DECISION TREE ENSEMBLES FOR GENE-GENE INTERACTION DETECTION“. Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353971575.
Der volle Inhalt der QuelleBendahmane, Abdelhafid. „Analysis of a gene-for-gene interaction associated with Rx-mediated resistance to potato virus X“. Thesis, University of East Anglia, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389350.
Der volle Inhalt der QuelleAleknonytė-Resch, Milda [Verfasser], Astrid [Akademischer Betreuer] Dempfle und Hinrich [Gutachter] Schulenburg. „The Validity and Statistical Power of the Case-Only Study Design for Interaction Analysis : Gene-Gene Interaction and the Role of Genotype Imputation in Gene-Environment Interaction / Milda Aleknonytė-Resch ; Gutachter: Hinrich Schulenburg ; Betreuer: Astrid Dempfle“. Kiel : Universitätsbibliothek Kiel, 2021. http://d-nb.info/1229916962/34.
Der volle Inhalt der QuelleElisson, Hanna. „Uncertainty in Genetic Mapping and Gene Interaction for Diabetes in Rats“. Thesis, Uppsala University, Department of Mathematics, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122559.
Der volle Inhalt der QuelleMacGowan, Alice Laura. „Embryonic retinoid deficiency and congenital malformation : evidence for gene-environment interaction“. Thesis, University of Sheffield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398657.
Der volle Inhalt der QuelleThi, Cam Thach Doan. „A GRAPHICAL USER INTERFACE FOR LARGE-SCALE GENE EXPRESSION ANALYSIS“. Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20870.
Der volle Inhalt der QuelleProgram: Masterutbildning i Informatik
Korkmaz, Gulberal Kircicegi Yoksul. „Mining Microarray Data For Biologically Important Gene Sets“. Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614266/index.pdf.
Der volle Inhalt der QuellePiqueras, Matias. „HERITABILITY FOR SOCIAL TRUST ACROSS SOCIOECONOMIC STATUS: : Is There a Gene-Environment Interaction?“ Thesis, Uppsala universitet, Statsvetenskapliga institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-394876.
Der volle Inhalt der QuelleCai, Yu. „Molecular Characterization of the mop2, a Gene Required for Epigenetic Silencing“. Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/195361.
Der volle Inhalt der QuelleMietzsch, Mario [Verfasser]. „Adeno-Associated Virus Vectors for Gene Therapy : From Scalable Production Systems via Serotype-Specific Glycan Interaction Patterns to Gene Transfer Applications / Mario Mietzsch“. Berlin : Freie Universität Berlin, 2014. http://d-nb.info/1055942203/34.
Der volle Inhalt der QuelleBücher zum Thema "Gene-For-Gene interaction"
R, Crute I., Holub E. B, Burdon J. J und British Society for Plant Pathology., Hrsg. The gene-for-gene relationship in plant-parasite interactions. Wallington, UK: CAB International, 1997.
Den vollen Inhalt der Quelle findenHåkansssson, Gunilla. Nuclear-mitochondrial interactions and its relevance for male sterility in Nicotiana: Analysis of mitochondrial genome organization, gene expression and respiration in male-fertile and alloplasmic male-sterile materials. Uppsala, Sweden: Swedish University of Agricultural Sciences, Dept. of Plant Breeding, 1992.
Den vollen Inhalt der Quelle findenSasaki, Joni Y., Jessica LeClair, Alexandria West und Heejung S. Kim. The Gene–Culture Interaction Framework and Implications for Health. Herausgegeben von Joan Y. Chiao, Shu-Chen Li, Rebecca Seligman und Robert Turner. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199357376.013.20.
Der volle Inhalt der QuelleRazzoli, Maria, Alessandro Bartolomucci und Valeria Carola. Gene-by-Environment Mouse Models for Mood Disorders. Herausgegeben von Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.013.
Der volle Inhalt der QuelleHe, Zihuai, Michael Windle, James Y. Dai und Caroline Y. Doyle. Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes. MIT Press, 2016.
Den vollen Inhalt der Quelle findenWindle, Michael, Charles Kooperberg, James Y. Dai, Li Yang Hsu und Jung-Ying Tzeng. Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes. MIT Press, 2016.
Den vollen Inhalt der Quelle findenKlengel, Torsten, Lauren A. M. Lebois, Sheila Gaynor und Guia Guffanti. Genetics and Gene–Environment Interaction. Herausgegeben von Frederick J. Stoddard, David M. Benedek, Mohammed R. Milad und Robert J. Ursano. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190457136.003.0017.
Der volle Inhalt der QuelleSilvers, W. K. Coat Colors of Mice: A Model for Mammalian Gene Action and Interaction. Springer London, Limited, 2012.
Den vollen Inhalt der Quelle findenHan, Shihui. Gene-culture interaction on human behavior and the brain. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198743194.003.0007.
Der volle Inhalt der QuelleSilvers, W. K. The Coat Colors of Mice: A Model For Mammalian Gene Action And Interaction. Springer, 2011.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Gene-For-Gene interaction"
Cregan, P. B., M. J. Sadowsky und H. H. Keyser. „Gene-for-gene interaction in the legume-Rhizobium symbiosis“. In The Rhizosphere and Plant Growth, 163–71. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3336-4_32.
Der volle Inhalt der QuelleManohar, S. K., M. P. Gowrav und H. V. Gangadharappa. „Materials for Gene Delivery Systems“. In Interaction of Nanomaterials With Living Cells, 411–37. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2119-5_14.
Der volle Inhalt der QuelleXiong, Momiao, und Xuesen Wu. „Statistics for Testing Gene–Environment Interaction“. In Environmental Factors, Genes, and the Development of Human Cancers, 53–95. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6752-7_3.
Der volle Inhalt der QuelleTurner, Stephen D., Scott M. Dudek und Marylyn D. Ritchie. „Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction“. In Parallel Problem Solving from Nature, PPSN XI, 394–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15844-5_40.
Der volle Inhalt der QuelleKokošar, Jaka, Martin Špendl und Blaž Zupan. „Gene Interactions in Survival Data Analysis: A Data-Driven Approach Using Restricted Mean Survival Time and Literature Mining“. In Discovery Science, 293–307. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45275-8_20.
Der volle Inhalt der QuelleKatagiri, Fumiaki, und R. Todd Leister. „Use of transient expression in plants for the study of the “gene-for-gene” interaction“. In Cellular Integration of Signalling Pathways in Plant Development, 311–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72117-5_27.
Der volle Inhalt der QuelleBhalla, Parinishtha, Anukriti Verma, Bhawna Rathi, Shivani Sharda und Pallavi Somvanshi. „Exploring Molecular Signatures in Spondyloarthritis: A Step Towards Early Diagnosis“. In Proceedings of the Conference BioSangam 2022: Emerging Trends in Biotechnology (BIOSANGAM 2022), 142–55. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-020-6_15.
Der volle Inhalt der QuelleMiyao, Akio, und Hirohiko Hirochika. „Transposon-Insertion Lines of Rice for Analysis of Gene Function“. In Rice Blast: Interaction with Rice and Control, 107–12. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-0-306-48582-4_12.
Der volle Inhalt der QuelleDa, Bingshui, Abhishek Gupta, Yew Soon Ong und Liang Feng. „The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking“. In Lecture Notes in Computer Science, 54–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28270-1_5.
Der volle Inhalt der QuelleTiwari, Aneeta, Elhan Khan, Sonam Dwivedi, Haram Sarfraz und Iffat Zareen Ahmad. „Gene Regulation for Drought, Cold, Heavy Metal and Environmental Responses“. In Genomics of Plant–Pathogen Interaction and the Stress Response, 171–84. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003153481-9.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Gene-For-Gene interaction"
Diaz-Diaz, Norberto, Francisco Gomez-Vela, Jesus Aguilar-Ruiz und Jorge Garcia-Gutierrez. „Gene-gene interaction based clustering method for microarray data“. In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121800.
Der volle Inhalt der QuelleAssareh, Amin, L. Gwenn Volkert und Jing Li. „Interaction Trees: Optimizing Ensembles of Decision Trees for Gene-Gene Interaction Detections“. In 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA). IEEE, 2012. http://dx.doi.org/10.1109/icmla.2012.114.
Der volle Inhalt der QuelleTong, Dong Ling, und Christine Siew Ken Lee. „A Systems Biology Approach to Model Gene-Gene Interaction for Childhood Sarcomas“. In 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2018. http://dx.doi.org/10.1109/bibe.2018.00074.
Der volle Inhalt der QuelleLi, Xin, Zhu Zhang, Hsinchun Chen und Jiexun Li. „Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network“. In 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007). IEEE, 2007. http://dx.doi.org/10.1109/bibm.2007.25.
Der volle Inhalt der QuelleHuh, Iksoo, und Taesung Park. „Multifactor dimendionality reduction analysis for gene-gene interaction of multiple binary traits“. In 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2014. http://dx.doi.org/10.1109/bibm.2014.6999382.
Der volle Inhalt der QuelleSu, Ming-Wei, Kuan-Yen Tung, Ching-Hui Tsai, Nai-Wei Kuo, Pi-Hui Liang und Yungling L. Lee. „GSTP1 Is A Hub Gene For Gene By Air Pollution Interaction On Childhood Asthma“. In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a2502.
Der volle Inhalt der QuelleAlam, Md Ashad, Osamu Komori, Vince Calhoun und Yu-Ping Wang. „Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data“. In BCB '16: ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2975167.2975196.
Der volle Inhalt der QuelleSungyoung Lee, Min-Seok Kwon, Ik-Soo Huh und Taesung Park. „CUDA-LR: CUDA-accelerated logistic regression analysis tool for gene-gene interaction for genome-wide association study“. In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112454.
Der volle Inhalt der QuelleRao, Jiahua, Shuangjia Zheng, Sijie Mai und Yuedong Yang. „Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction“. In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/544.
Der volle Inhalt der QuelleLiang, Yulan, und Arpad Kelemen. „Bayesian Dynamic Multivariate Models for Inferring Gene Interaction Networks“. In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260091.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Gene-For-Gene interaction"
Sun, Jielin, Jianfeng Xu und Siqun L. Zheng. Systematic Search for Gene-Gene Interaction Effect on Prostate Cancer Risk. Fort Belvoir, VA: Defense Technical Information Center, Juli 2012. http://dx.doi.org/10.21236/ada564269.
Der volle Inhalt der QuelleSun, Jielin, Jianfeng Xu und Siqun L. Zheng. Systematic Search for Gene-Gene Interaction Effect on Prostate Cancer Risk. Fort Belvoir, VA: Defense Technical Information Center, Juli 2013. http://dx.doi.org/10.21236/ada593732.
Der volle Inhalt der QuelleTan, Qihua, Anatoli I. Yashin, Else M. Bladbjerg, Moniek De Maat, Karen Andersen-Ranberg, Bernard Jeune, Kaare Christensen und James W. Vaupel. A case-only approach for assessing gene-sex interaction in human longevity. Rostock: Max Planck Institute for Demographic Research, Mai 2001. http://dx.doi.org/10.4054/mpidr-wp-2001-012.
Der volle Inhalt der QuelleLifschitz, Eliezer, und Elliot Meyerowitz. The Relations between Cell Division and Cell Type Specification in Floral and Vegetative Meristems of Tomato and Arabidopsis. United States Department of Agriculture, Februar 1996. http://dx.doi.org/10.32747/1996.7613032.bard.
Der volle Inhalt der QuelleHorwitz, Benjamin A., und Barbara Gillian Turgeon. Fungal Iron Acquisition, Oxidative Stress and Virulence in the Cochliobolus-maize Interaction. United States Department of Agriculture, März 2012. http://dx.doi.org/10.32747/2012.7709885.bard.
Der volle Inhalt der QuelleLevisohn, Sharon, Mark Jackwood und Stanley Kleven. New Approaches for Detection of Mycoplasma iowae Infection in Turkeys. United States Department of Agriculture, Februar 1995. http://dx.doi.org/10.32747/1995.7612834.bard.
Der volle Inhalt der QuelleBarash, Itamar, J. Mina Bissell, Alexander Faerman und Moshe Shani. Modification of Milk Composition via Transgenesis: The Role of the Extracellular Matrix in Regulating Transgene Expression. United States Department of Agriculture, Juli 1995. http://dx.doi.org/10.32747/1995.7570558.bard.
Der volle Inhalt der QuelleFunkenstein, Bruria, und Shaojun (Jim) Du. Interactions Between the GH-IGF axis and Myostatin in Regulating Muscle Growth in Sparus aurata. United States Department of Agriculture, März 2009. http://dx.doi.org/10.32747/2009.7696530.bard.
Der volle Inhalt der QuelleOr, Etti, Tai-Ping Sun, Amnon Lichter und Avichai Perl. Characterization and Manipulation of the Primary Components in Gibberellin Signaling in the Grape Berry. United States Department of Agriculture, Januar 2010. http://dx.doi.org/10.32747/2010.7592649.bard.
Der volle Inhalt der QuelleSchaffer, Arthur, Jack Preiss, Marina Petreikov und Ilan Levin. Increasing Starch Accumulation via Genetic Modification of the ADP-glucose Pyrophosphorylase. United States Department of Agriculture, Oktober 2009. http://dx.doi.org/10.32747/2009.7591740.bard.
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