| Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
| 2009 | A factor graph nested effects model to identify networks from genetic perturbations. | Vaske, C. J.; House, C.; Luu, T.; Frank, B.; Yeang, C. H. ; Lee, N.; Stuart, J. M. | PLoS Computational Biology 9(5) | | | |
| 2006 | A joint model of regulatory and metabolic networks. | Yeang, CH ; Vingron, M | BMC bioinformatics 7, 332 | | | |
| 2010 | A probabilistic graphical model of quantum systems | Yeang, Chen-Hsiang | | | | |
| 2017 | A quantitative model for the rate-limiting process of UGA alternative assignments to stop and selenocysteine codons | Chen, YF; Lin, HC; Chuang, KN; Lin, CH; Yen, HS ; Yeang, CH | PLoS computational biology 13(2), e1005367 | | | |
| 2002 | An information geometric perspective on active learning. | Yeang, C. H. | | | | |
| 2010 | An integrated analysis of molecular aberrations in NCI-60 cell lines. | Yeang, CH | BMC bioinformatics 11, 495 | | | |
| 2022 | An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer types | K.L. Tiong; N. Sintupisut; M.C. Lin; C.H. Cheng; A. Woolston; C.H. Lin; M. Ho; Y.W. Lin; S. Padakanti; C.H. Yeang | PLOS Digital Health 1(12), e0000151 | | | |
| 2013 | An integrative characterization of recurrent molecular aberrations in glioblastoma genomes | N. Sintupisut; P.L. Liu; C.H. Yeang | NUCLEIC ACIDS RESEARCH 41(19), 8803-8821 | | | |
| 2016 | Analysis of spatial-temporal gene expression patterns reveals dynamics and regionalization in developing mouse brain. | Chou, SJ ; Wang, C; Sintupisut, N; Niou, ZX; Lin, CH; Li, KC ; Yeang, CH | Scientific reports 6, 19274 | | | |
| 2022 | Characterization of gene cluster heterogeneity in single-cell transcriptomic data within and across cancer types | Tiong, KL; Lin, YW; Yeang, CH | Biology open 11(6), bio059256 | | | |
| 2022 | Clustering image data with a fixed embedding | Chen, YB; Tiong, KL; Yeang, CH | | | | |
| 2008 | Combinatorial patterns of somatic gene mutations in cancer. | Yeang, CH ; McCormick, F; Levine, A | The FASEB journal : official publication of the Federation of American Societies for Experimental Biology 22(8), 2605-22 | | | |
| 2003 | Continuous Markov random walks. | Yeang, C. H. ; Szummer, M. | | | | |
| 2022 | Cooperative stability renders protein complex formation more robust and controllable | Hsu, KL; Yen, HS ; Yeang, CH | Scientific reports 12(1), 10490 | | | |
| 2011 | Deciphering causal and statistical relations of molecular aberrations and gene expressions in NCI-60 cell lines. | Li, SD; Tagami, T; Ho, YF; Yeang, CH | BMC systems biology 5(1), 186 | | | |
| 2017 | Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States | Kim, JW; Abudayyeh, OO; Yeerna, H; Yeang, CH ; Stewart, M; Jenkins, RW; Kitajima, S; Konieczkowski, DJ; Medetgul-Ernar, K; Cavazos, T; Mah, C; Ting, S; Van Allen, EM; Cohen, O; Mcdermott, J; Damato, E; Aguirre, AJ; Liang, J; Liberzon, A; Alexe, G; Doench, J; Ghandi, M; Vazquez, F; Weir, BA; Tsherniak, A; Subramanian, A; Meneses-Cime, K; Park, J; Clemons, P; Garraway, LA; Thomas, D; Boehm, JS; Barbie, DA; Hahn, WC; Mesirov, JP; Tamayo, P. | Cell Systems 5(2), 105-118.e9 | | | |
| 2007 | Detecting coevolution in and among protein domains. | Yeang, CH ; Haussler, D | PLoS computational biology 3(11), e211 | | | |
| 2007 | Detecting the coevolution of biosequences--an example of RNA interaction prediction. | Yeang, CH ; Darot, JF; Noller, HF; Haussler, D | Molecular biology and evolution 24(9), 2119-31 | | | |
| 2006 | Detecting the dependent evolution of biosequences. | Darot, J.; Yeang, C. H. ; Haussler, D. | | | | |
| 2012 | Evolution of domain architectures and catalytic functions of enzymes | Suen, Summit; Lu, Henry Horng-Shing; Yeang, Chen-Hsiang | Genome Biology and Evolution Epub ahead of print | | | |
