Identifying disease genes from PPI networks weighted by gene expression under different conditions
暂无分享,去创建一个
Ping Luo | Li-Ping Tian | Fang-Xiang Wu | Jishou Ruan | Fang-Xiang Wu | J. Ruan | Li-Ping Tian | Ping Luo
[1] Eric Jones,et al. SciPy: Open Source Scientific Tools for Python , 2001 .
[2] Yingyao Zhou,et al. In Silico Gene Prioritization by Integrating Multiple Data Sources , 2011, PloS one.
[3] Rui Jiang,et al. Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach , 2011, BMC Bioinformatics.
[4] Antonio Reverter,et al. A Differential Wiring Analysis of Expression Data Correctly Identifies the Gene Containing the Causal Mutation , 2009, PLoS Comput. Biol..
[5] Fang-Xiang Wu,et al. Disease gene identification by using graph kernels and Markov random fields , 2014, Science China Life Sciences.
[6] Fang-Xiang Wu,et al. Dynamic protein interaction network construction and applications , 2014, Proteomics.
[7] Hui Yu,et al. EW_dmGWAS: edge-weighted dense module search for genome-wide association studies and gene expression profiles , 2015, Bioinform..
[8] A. Barabasi,et al. The human disease network , 2007, Proceedings of the National Academy of Sciences.
[9] V. Soo,et al. Disease Gene Prioritization , 2011 .
[10] P. Jia,et al. SZGR: a comprehensive schizophrenia gene resource , 2009, Molecular Psychiatry.
[11] Judy H. Cho,et al. Guilt by rewiring: gene prioritization through network rewiring in genome wide association studies. , 2014, Human molecular genetics.
[12] R. Piro,et al. Computational approaches to disease‐gene prediction: rationale, classification and successes , 2012, The FEBS journal.
[13] T. Ideker,et al. Differential network biology , 2012, Molecular systems biology.
[14] Yana Bromberg,et al. Chapter 15: Disease Gene Prioritization , 2013, PLoS Comput. Biol..
[15] Yi Pan,et al. Rechecking the Centrality-Lethality Rule in the Scope of Protein Subcellular Localization Interaction Networks , 2015, PloS one.
[16] Min Li,et al. A two-step logistic regression algorithm for identifying individual-cancer-related genes , 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[17] Martin Krzywinski,et al. Points of Significance: Logistic regression , 2016, Nature Methods.
[18] Sandhya Rani,et al. Human Protein Reference Database—2009 update , 2008, Nucleic Acids Res..
[19] K. Tomczak,et al. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge , 2015, Contemporary oncology.
[20] P. Robinson,et al. Walking the interactome for prioritization of candidate disease genes. , 2008, American journal of human genetics.
[21] Michael Q. Zhang,et al. Network-based global inference of human disease genes , 2008, Molecular systems biology.
[22] Atul J. Butte,et al. Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks , 2005, BMC Bioinformatics.
[23] Fang-Xiang Wu,et al. Identifying disease genes by integrating multiple data sources , 2014, BMC Medical Genomics.
[24] Søren Brunak,et al. MetaRanker 2.0: a web server for prioritization of genetic variation data , 2013, Nucleic Acids Res..
[25] Takanori Fujita,et al. PRC2 overexpression and PRC2-target gene repression relating to poorer prognosis in small cell lung cancer , 2013, Scientific Reports.
[26] Yves Moreau,et al. Candidate gene prioritization with Endeavour , 2016, Nucleic Acids Res..
[27] Xing Qiu,et al. Detecting intergene correlation changes in microarray analysis: a new approach to gene selection , 2009, BMC Bioinformatics.
[28] Steven R. Head,et al. Molecular profiles of schizophrenia in the CNS at different stages of illness , 2008, Brain Research.
[29] Fang-Xiang Wu,et al. A fast and high performance multiple data integration algorithm for identifying human disease genes , 2015, BMC Medical Genomics.
[30] Wei Zheng,et al. dmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks , 2011, Bioinform..