{"id":15981,"date":"2021-11-12T07:40:23","date_gmt":"2021-11-12T07:40:23","guid":{"rendered":"https:\/\/www.cheeridea.mytw.org\/bmi\/%e6%9e%97%e6%8c%af%e6%85%b6-chen-ching-lin\/"},"modified":"2025-05-09T16:58:58","modified_gmt":"2025-05-09T08:58:58","slug":"chen-ching-lin","status":"publish","type":"post","link":"https:\/\/bmi.nycu.edu.tw\/en\/chen-ching-lin\/","title":{"rendered":"Chen-Ching Lin"},"content":{"rendered":"<table border=\"0\" width=\"\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td colspan=\"2\">\n<h3>Personal Profile<\/h3>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"166\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-14624\" src=\"https:\/\/bmi.nycu.edu.tw\/wp-content\/uploads\/2021\/11\/Chen_Ching_Lin.jpeg\" alt=\"\" width=\"92\" height=\"122\" \/><\/td>\n<td align=\"left\"><strong>Chen-Ching Lin<\/strong><br \/>\nProfessor, Institute of Biomedical Informatics<br \/>\nPhD of Biomedical Electronics and Bioinformatics, National Taiwan<br \/>\nUniversity, Taiwan<br \/>\nField of Interest: Data Science, Computational Cancer Biology,<br \/>\nBioinformatics, Systems Biology<br \/>\nOffice: R313, 3F, SoRen Building<br \/>\nPhone: 886-2-28267949<br \/>\nEmail: chenching.lin@nycu.edu.tw<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<h3>Research Interests<\/h3>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<ul>\n<li>\u6578\u64da\u8207\u8cc7\u6599\u79d1\u5b78 (Data Science)<\/li>\n<li>\u764c\u75c7\u8a08\u7b97\u751f\u7269\u5b78 (Computational Cancer Biology)<\/li>\n<li>\u751f\u7269\u8cc7\u8a0a\u5b78 (Bioinformatics)<\/li>\n<li>\u7cfb\u7d71\u751f\u7269\u5b78 (Systems Biology)<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<h3>Publications<\/h3>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">\n<ul>\n<li>Chen, Y.R., H.C. Huang, and\u00a0<strong>C.C. Lin<\/strong>, Regulatory feedback loops bridge the human gene regulatory network and regulate carcinogenesis. Brief Bioinform, 2019.<\/li>\n<li>Sahu, D., et al., Co-expression analysis identifies long noncoding RNA SNHG1 as a novel predictor for event-free survival in neuroblastoma. Oncotarget, 2016. 7(36): p. 58022-58037.<\/li>\n<li>Jiang, W., et al., Systematic dissection of dysregulated transcription factor-miRNA feed-forward loops across tumor types. Brief Bioinform, 2016. 17(6): p. 996-1008.<\/li>\n<li>Jager, E., et al., Dendritic Cells Regulate GPR34 through Mitogenic Signals and Undergo Apoptosis in Its Absence. J Immunol, 2016. 196(6): p. 2504-13.<\/li>\n<li>Mitra, R., et al., Concordant dysregulation of miR-5p and miR-3p arms of the same precursor microRNA may be a mechanism in inducing cell proliferation and tumorigenesis: a lung cancer study. Rna, 2015. 21(6): p. 1055-65<\/li>\n<li><strong>Lin, C.C.<\/strong>, et al., A cross-cancer differential co-expression network reveals microRNA-regulated oncogenic functional modules. Mol Biosyst, 2015. 11(12): p. 3244-52.<\/li>\n<li><strong>Lin, C.C.<\/strong>, et al., Regulation rewiring analysis reveals mutual regulation between STAT1 and miR-155-5p in tumor immunosurveillance in seven major cancers. Sci Rep, 2015. 5: p. 12063.<\/li>\n<li>Cheng, F., et al., A Gene Gravity Model for the Evolution of Cancer Genomes: A Study of 3,000 Cancer Genomes across 9 Cancer Types. PLoS Comput Biol, 2015. 11(9): p. e1004497.<\/li>\n<li>Yang, K.C., et al., Mirin: identifying microRNA regulatory modules in protein-protein interaction networks. Bioinformatics, 2014. 30(17): p. 2527-8<\/li>\n<li>Vuong, H., et al., Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach. Genome Med, 2014. 6(10): p. 81.<\/li>\n<li><strong>Lin, C.C.<\/strong>, R. Mitra, and Z. Zhao, A tri-component conservation strategy reveals highly confident microRNA-mRNA interactions and evolution of microRNA regulatory networks. PLoS One, 2014. 9(7): p. e103142<\/li>\n<li><strong>Lin, C.C.<\/strong>, et al., Functional evolution of cardiac microRNAs in heart development and functions. Mol Biol Evol, 2014. 31(10): p. 2722-34.<\/li>\n<li>Cheng, F., et al., Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome. Mol Biol Evol, 2014. 31(8): p. 2156-69.<\/li>\n<li>Yu, H., et al., Dynamic protein interaction modules in human hepatocellular carcinoma progression. BMC Syst Biol, 2013. 7 Suppl 5: p. S2.<\/li>\n<li><strong>Lin, C.C.<\/strong>, et al., Link clustering reveals structural characteristics and biological contexts in signed molecular networks. PLoS One, 2013. 8(6): p. e67089.<\/li>\n<li>Liaw, H.H., et al., Differential microRNA regulation correlates with alternative polyadenylation pattern between breast cancer and normal cells. PLoS One, 2013. 8(2): p. e56958.<\/li>\n<li>Lee, C.H., et al., MicroRNA-regulated protein-protein interaction networks and their functions in breast cancer. Int J Mol Sci, 2013. 14(6): p. 11560-606.<\/li>\n<li>Lu, K.Y., et al., Profiling lipid-protein interactions using nonquenched fluorescent liposomal nanovesicles and proteome microarrays. Mol Cell Proteomics, 2012. 11(11): p. 1177-90.<\/li>\n<li><strong>Lin, C.C.<\/strong>, et al., Crosstalk between transcription factors and microRNAs in human protein interaction network. BMC Syst Biol, 2012. 6: p. 18.<\/li>\n<li>Chen, P.J., et al., Androgen pathway stimulates microRNA-216a transcription to suppress the tumor suppressor in lung cancer-1 gene in early hepatocarcinogenesis. Hepatology, 2012. 56(2): p. 632-43.<\/li>\n<li>Tseng, C.W., et al., Identification of 14-3-3beta in human gastric cancer cells and its potency as a diagnostic and prognostic biomarker. Proteomics, 2011. 11(12): p. 2423-39.<\/li>\n<li>Tseng, C.W., et al., Integrative network analysis reveals active microRNAs and their functions in gastric cancer. BMC Syst Biol, 2011. 5: p. 99.<\/li>\n<li><strong>Lin, C.C.<\/strong>, et al., Dynamic functional modules in co-expressed protein interaction networks of dilated cardiomyopathy. BMC Syst Biol, 2010. 4: p. 138.<\/li>\n<li><strong>Lin, C.C.<\/strong>, et al., Essential core of protein-protein interaction network in Escherichia coli. J Proteome Res, 2009. 8(4): p. 1925-31.<\/li>\n<li>Hwang, Y.C., et al., Predicting essential genes based on network and sequence analysis. Mol Biosyst, 2009. 5(12): p. 1672-8.<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Personal Profile Chen-Ching Lin Professor, Institute of Biomedical Informatics PhD of Biomedical Electronics and Bioinformatics, National Taiwan University, Taiwan Field of Interest: Data Science, Computational Cancer Biology, Bioinformatics, Systems Biology Office: R313, 3F, SoRen Building Phone: 886-2-28267949 Email: chenching.lin@nycu.edu.tw Research Interests \u6578\u64da\u8207\u8cc7\u6599\u79d1\u5b78 (Data Science) \u764c\u75c7\u8a08\u7b97\u751f\u7269\u5b78 (Computational Cancer Biology) \u751f\u7269\u8cc7\u8a0a\u5b78 (Bioinformatics) \u7cfb\u7d71\u751f\u7269\u5b78 (Systems Biology) Publications Chen,..<\/p>\n","protected":false},"author":1,"featured_media":21231,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-15981","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category--en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - 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