Articoli di riviste sul tema "Gene-For-Gene interaction"
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Wang, Yaping, Donghui Li e Peng Wei. "Powerful Tukey's One Degree-of-Freedom Test for Detecting Gene-Gene and Gene-Environment Interactions". Cancer Informatics 14s2 (gennaio 2015): CIN.S17305. http://dx.doi.org/10.4137/cin.s17305.
Zhang, Jigang, Jian Li e Hong-Wen Deng. "Identifying Gene Interaction Enrichment for Gene Expression Data". PLoS ONE 4, n. 11 (30 novembre 2009): e8064. http://dx.doi.org/10.1371/journal.pone.0008064.
Mechanic, Leah E., Brian T. Luke, Julie E. Goodman, Stephen J. Chanock e Curtis C. Harris. "Polymorphism Interaction Analysis (PIA): a method for investigating complex gene-gene interactions". BMC Bioinformatics 9, n. 1 (2008): 146. http://dx.doi.org/10.1186/1471-2105-9-146.
Zhou, R., M. Wang, W. Li, S. Wang, Z. Zhou, J. Li, T. Wu, H. Zhu e T. H. Beaty. "Gene-Gene Interactions among SPRYs for Nonsyndromic Cleft Lip/Palate". Journal of Dental Research 98, n. 2 (1 ottobre 2018): 180–85. http://dx.doi.org/10.1177/0022034518801537.
Zhou, Xiangdong, Keith C. C. Chan, Zhihua Huang e Jingbin Wang. "Determining dependency and redundancy for identifying gene–gene interaction associated with complex disease". Journal of Bioinformatics and Computational Biology 18, n. 05 (ottobre 2020): 2050035. http://dx.doi.org/10.1142/s0219720020500353.
Sa, Jian, Xu Liu, Tao He, Guifen Liu e Yuehua Cui. "A Nonlinear Model for Gene-Based Gene-Environment Interaction". International Journal of Molecular Sciences 17, n. 6 (4 giugno 2016): 882. http://dx.doi.org/10.3390/ijms17060882.
Chen, Zhongxue. "Testing for gene-gene interaction in case-control GWAS". Statistics and Its Interface 10, n. 2 (2017): 267–77. http://dx.doi.org/10.4310/sii.2017.v10.n2.a10.
Corvol, 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, n. 7 (luglio 2009): 489–96. http://dx.doi.org/10.1097/fpc.0b013e32832c440e.
Song, Minsun, e Dan L. Nicolae. "Restricted parameter space models for testing gene-gene interaction". Genetic Epidemiology 33, n. 5 (luglio 2009): 386–93. http://dx.doi.org/10.1002/gepi.20392.
Li, Qing, Yoonhee Kim, Bhoom Suktitipat, Jacqueline B. Hetmanski, Mary L. Marazita, Priya Duggal, Terri H. Beaty e Joan E. Bailey-Wilson. "Gene-Gene Interaction AmongWNTGenes for Oral Cleft in Trios". Genetic Epidemiology 39, n. 5 (6 febbraio 2015): 385–94. http://dx.doi.org/10.1002/gepi.21888.
Dorani, Faramarz, Ting Hu, Michael O. Woods e Guangju Zhai. "Ensemble learning for detecting gene-gene interactions in colorectal cancer". PeerJ 6 (29 ottobre 2018): e5854. http://dx.doi.org/10.7717/peerj.5854.
Brock, Guy N., Brion S. Maher, Toby H. Goldstein, Margaret E. Cooper e Mary L. Marazita. "Methods for detecting gene × gene interaction in multiplex extended pedigrees". BMC Genetics 6, Suppl 1 (2005): S144. http://dx.doi.org/10.1186/1471-2156-6-s1-s144.
Gauderman, W. J. "Sample Size Requirements for Association Studies of Gene-Gene Interaction". American Journal of Epidemiology 155, n. 5 (1 marzo 2002): 478–84. http://dx.doi.org/10.1093/aje/155.5.478.
Zhao, Jinying, Yun Zhu e Momiao Xiong. "Genome-wide gene–gene interaction analysis for next-generation sequencing". European Journal of Human Genetics 24, n. 3 (15 luglio 2015): 421–28. http://dx.doi.org/10.1038/ejhg.2015.147.
Chen, Shyh-Huei, Jielin Sun, Latchezar Dimitrov, Aubrey R. Turner, Tamara S. Adams, Deborah A. Meyers, Bao-Li Chang et al. "A support vector machine approach for detecting gene-gene interaction". Genetic Epidemiology 32, n. 2 (2008): 152–67. http://dx.doi.org/10.1002/gepi.20272.
Ritchie, Marylyn D. "Bioinformatics approaches for detecting gene–gene and gene–environment interactions in studies of human disease". Neurosurgical Focus 19, n. 4 (ottobre 2005): 1–4. http://dx.doi.org/10.3171/foc.2005.19.4.3.
Dodds, Peter, e Peter Thrall. "Recognition events and host–pathogen co-evolution in gene-for-gene resistance to flax rust". Functional Plant Biology 36, n. 5 (2009): 395. http://dx.doi.org/10.1071/fp08320.
Decroocq, V., V. Schurdi-Levraud, D. Wawrzyńczak, J. P. Eyquard e M. Lansac. "Transcript imaging and candidate gene strategy for the characterisation of Prunus/PPV interactions". Plant Protection Science 38, SI 1 - 6th Conf EFPP 2002 (1 gennaio 2002): S112—S116. http://dx.doi.org/10.17221/10332-pps.
Lee, Jea-Young, Yong-Won Lee e Young-Jin Choi. "Statistical Interaction for Major Gene Combinations". Korean Journal of Applied Statistics 23, n. 4 (31 agosto 2010): 693–703. http://dx.doi.org/10.5351/kjas.2010.23.4.693.
Sharma, Anand Kumar, Sudhakar Tripathi e Ravi Bhushan Mishra. "Genetic algorithm based clustering for gene-gene interaction in episodic memory". International Journal of Bioinformatics Research and Applications 15, n. 3 (2019): 254. http://dx.doi.org/10.1504/ijbra.2019.10022525.
Babron, Marie-Claude, Adrien Etcheto e Marie-Helene Dizier. "A New Correction for Multiple Testing in Gene-Gene Interaction Studies". Annals of Human Genetics 79, n. 5 (23 aprile 2015): 380–84. http://dx.doi.org/10.1111/ahg.12113.
Ohtsuki, Akiko, e Akira Sasaki. "Epidemiology and disease-control under gene-for-gene plant–pathogen interaction". Journal of Theoretical Biology 238, n. 4 (febbraio 2006): 780–94. http://dx.doi.org/10.1016/j.jtbi.2005.06.030.
Sultana, Most Humaira, Fangjie Liu, Md Alamin, Lingfeng Mao, Lei Jia, Hongyu Chen, Dongya Wu et al. "Gene Modules Co-regulated with Biosynthetic Gene Clusters for Allelopathy between Rice and Barnyardgrass". International Journal of Molecular Sciences 20, n. 16 (7 agosto 2019): 3846. http://dx.doi.org/10.3390/ijms20163846.
Lu, Qing. "Editorial (Thematic Issue: Novel Statistical Approaches for High-dimensional Gene-gene and Gene-environment Interaction Analyses)". Current Genomics 17, n. 5 (3 agosto 2016): 387. http://dx.doi.org/10.2174/138920291705160803183450.
Knights, J., J. Yang, P. Chanda, A. Zhang e M. Ramanathan. "SYMPHONY, an information-theoretic method for gene–gene and gene–environment interaction analysis of disease syndromes". Heredity 110, n. 6 (20 febbraio 2013): 548–59. http://dx.doi.org/10.1038/hdy.2012.123.
Huh, Iksoo, e Taesung Park. "Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction". International Journal of Data Mining and Bioinformatics 14, n. 4 (2016): 293. http://dx.doi.org/10.1504/ijdmb.2016.075810.
Gao, Xin, Daniel Q. Pu e Peter X. K. Song. "Transition Dependency: A Gene-Gene Interaction Measure for Times Series Microarray Data". EURASIP Journal on Bioinformatics and Systems Biology 2009 (2009): 1–12. http://dx.doi.org/10.1155/2009/535869.
Kwon, Min-Seok, Mira Park e Taesung Park. "IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis". BMC Medical Genomics 7, Suppl 1 (2014): S6. http://dx.doi.org/10.1186/1755-8794-7-s1-s6.
Huang, Chien-Hsun, Lei Cong, Jun Xie, Bo Qiao, Shaw-Hwa Lo e Tian Zheng. "Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes". BMC Proceedings 3, Suppl 7 (2009): S75. http://dx.doi.org/10.1186/1753-6561-3-s7-s75.
Tan, Qihua, Giovanna De Benedictis, Svetlana V. Ukraintseva, Claudio Franceschi, James W. Vaupel e Anatoli I. Yashin. "A centenarian-only approach for assessing gene–gene interaction in human longevity". European Journal of Human Genetics 10, n. 2 (febbraio 2002): 119–24. http://dx.doi.org/10.1038/sj.ejhg.5200770.
Geyik, Filiz, Neslihan Çoban, Berna Yüzbaşıoğulları, Altan Onat, Vedat Sansoy, Can Günay e Nihan Erginel Ünaltuna. "Gene-Gene Interaction between APOA4 and FTO for Obesity in TARF Study". Journal of the American College of Cardiology 62, n. 18 (ottobre 2013): C53. http://dx.doi.org/10.1016/j.jacc.2013.08.160.
Van der Linden, Liesl, Jane Bredenkamp, Sanushka Naidoo, Joanne Fouché-Weich, Katherine J. Denby, Stephane Genin, Yves Marco e Dave K. Berger. "Gene-for-Gene Tolerance to Bacterial Wilt in Arabidopsis". Molecular Plant-Microbe Interactions® 26, n. 4 (aprile 2013): 398–406. http://dx.doi.org/10.1094/mpmi-07-12-0188-r.
Nain, Vikrant. "A System Biology Approach to Construct a Gene Regulatory Network for C-Kit Mediated Proliferation in Hematopoietic Stem Cells". Indian Journal of Pure & Applied Biosciences 10, n. 2 (30 aprile 2022): 29–37. http://dx.doi.org/10.18782/2582-2845.8842.
Wu, Xuesen, Li Jin e Momiao Xiong. "Mutual Information for Testing Gene-Environment Interaction". PLoS ONE 4, n. 2 (24 febbraio 2009): e4578. http://dx.doi.org/10.1371/journal.pone.0004578.
Schaid, Daniel J. "Case-parents design for gene-environment interaction". Genetic Epidemiology 16, n. 3 (1999): 261–73. http://dx.doi.org/10.1002/(sici)1098-2272(1999)16:3<261::aid-gepi3>3.0.co;2-m.
Bhyratae, Suhas A. "Reconstruction of Gene Regulatory Network for Colon Cancer Dataset". International Journal for Research in Applied Science and Engineering Technology 10, n. 7 (31 luglio 2022): 3711–16. http://dx.doi.org/10.22214/ijraset.2022.45879.
Du, Yinhao, Kun Fan, Xi Lu e Cen Wu. "Integrating Multi–Omics Data for Gene-Environment Interactions". BioTech 10, n. 1 (29 gennaio 2021): 3. http://dx.doi.org/10.3390/biotech10010003.
Gómez-Vela, Francisco, e Norberto Díaz-Díaz. "Gene Network Biological Validity Based on Gene-Gene Interaction Relevance". Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/540679.
Pecanka, Jakub, Marianne A. Jonker, Zoltan Bochdanovits e Aad W. Van Der Vaart. "A powerful and efficient two-stage method for detecting gene-to-gene interactions in GWAS". Biostatistics 18, n. 3 (6 febbraio 2017): 477–94. http://dx.doi.org/10.1093/biostatistics/kxw060.
Stone, Steven, Victor Abkevich, Deanna L. Russell, Robyn Riley, Kirsten Timms, Thanh Tran, Deborah Trem et al. "TBC1D1 is a candidate for a severe obesity gene and evidence for a gene/gene interaction in obesity predisposition". Human Molecular Genetics 15, n. 18 (7 agosto 2006): 2709–20. http://dx.doi.org/10.1093/hmg/ddl204.
Ud-Dean, S. M. Minhaz, e Rudiyanto Gunawan. "Optimal design of gene knockout experiments for gene regulatory network inference". Bioinformatics 32, n. 6 (14 novembre 2015): 875–83. http://dx.doi.org/10.1093/bioinformatics/btv672.
Evans, Luke M., Christopher H. Arehart, Andrew D. Grotzinger, Travis J. Mize, Maizy S. Brasher, Jerry A. Stitzel, Marissa A. Ehringer e Charles A. Hoeffer. "Transcriptome-wide gene-gene interaction associations elucidate pathways and functional enrichment of complex traits". PLOS Genetics 19, n. 5 (22 maggio 2023): e1010693. http://dx.doi.org/10.1371/journal.pgen.1010693.
Nederhof, E., E. M. C. Bouma, H. Riese, O. M. Laceulle, J. Ormel e A. J. Oldehinkel. "Evidence for plasticity genotypes in a gene-gene-environment interaction: the TRAILS study". Genes, Brain and Behavior 9, n. 8 (novembre 2010): 968–73. http://dx.doi.org/10.1111/j.1601-183x.2010.00637.x.
Namkung, Junghyun, Kyunga Kim, Sungon Yi, Wonil Chung, Min-Seok Kwon e Taesung Park. "New evaluation measures for multifactor dimensionality reduction classifiers in gene–gene interaction analysis". Bioinformatics 25, n. 3 (22 gennaio 2009): 338–45. http://dx.doi.org/10.1093/bioinformatics/btn629.
Lee, S., M. S. Kwon, J. M. Oh e T. Park. "Gene-gene interaction analysis for the survival phenotype based on the Cox model". Bioinformatics 28, n. 18 (7 settembre 2012): i582—i588. http://dx.doi.org/10.1093/bioinformatics/bts415.
Larson, Nicholas B., e Daniel J. Schaid. "A Kernel Regression Approach to Gene-Gene Interaction Detection for Case-Control Studies". Genetic Epidemiology 37, n. 7 (19 luglio 2013): 695–703. http://dx.doi.org/10.1002/gepi.21749.
Pati, Soumen Kumar, Manan Kumar Gupta, Ayan Banerjee, Saurav Mallik e Zhongming Zhao. "PPIGCF: A Protein–Protein Interaction-Based Gene Correlation Filter for Optimal Gene Selection". Genes 14, n. 5 (10 maggio 2023): 1063. http://dx.doi.org/10.3390/genes14051063.
González, Ana M., Thierry C. Marcel e Rients E. Niks. "Evidence for a Minor Gene–for–Minor Gene Interaction Explaining Nonhypersensitive Polygenic Partial Disease Resistance". Phytopathology® 102, n. 11 (novembre 2012): 1086–93. http://dx.doi.org/10.1094/phyto-03-12-0056-r.
Li, Fangyu, Jinghua Zhao, Zhongshang Yuan, Xiaoshuai Zhang, Jiadong Ji e Fuzhong Xue. "A powerful latent variable method for detecting and characterizing gene-based gene-gene interaction on multiple quantitative traits". BMC Genetics 14, n. 1 (2013): 89. http://dx.doi.org/10.1186/1471-2156-14-89.
Saini, Ashish, Jingyu Hou e Wanlei Zhou. "RRHGE: A Novel Approach to Classify the Estrogen Receptor Based Breast Cancer Subtypes". Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/362141.