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2020 – today
- 2024
[j12]Khong-Loon Tiong, Dmytro Luzhbin, Chen-Hsiang Yeang:
Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data. BMC Bioinform. 25(1): 209 (2024)- 2022
- [c16]Yan-Bin Chen, Khong-Loon Tiong, Chen-Hsiang Yeang:
Clustering image data with a fixed embedding. ICMLA 2022: 891-896
2010 – 2019
- 2019
- [j11]Khong-Loon Tiong
, Chen-Hsiang Yeang:
MGSEA - a multivariate Gene set enrichment analysis. BMC Bioinform. 20(1): 145:1-145:22 (2019) - 2017
- [j10]Yen-Fu Chen, Hsiu-Chuan Lin, Kai-Neng Chuang, Chih-Hsu Lin, Hsueh-Chi S. Yen, Chen-Hsiang Yeang:
A quantitative model for the rate-limiting process of UGA alternative assignments to stop and selenocysteine codons. PLoS Comput. Biol. 13(2) (2017) - 2012
- [c15]Chen-Hsiang Yeang, Liang-Cheng Huang, Wei-Chung Liu:
Recurrent Structural Motifs Reflect Characteristics of Distinct Networks. ASONAM 2012: 551-557 - [i1]Chen-Hsiang Yeang, Martin Szummer:
Markov Random Walk Representations with Continuous Distributions. CoRR abs/1212.2510 (2012) - 2011
- [j9]Shyh-Dar Li, Tatsuaki Tagami, Ying-Fu Ho, Chen-Hsiang Yeang:
Deciphering causal and statistical relations of molecular aberrations and gene expressions in NCI-60 cell lines. BMC Syst. Biol. 5: 186 (2011) - 2010
- [j8]Chen-Hsiang Yeang:
An integrated analysis of molecular aberrations in NCI-60 cell lines. BMC Bioinform. 11: 495 (2010) - [c14]Chen-Hsiang Yeang:
Exact Loopy Belief Propagation on Euler Graphs. IC-AI 2010: 471-477 - [c13]Chen-Hsiang Yeang:
A Probabilistic Graphical Model of Quantum Systems. ICMLA 2010: 155-162 - [c12]Chen-Hsiang Yeang:
Quantifying the Strength of Natural Selection of a Motif Sequence. WABI 2010: 362-373
2000 – 2009
- 2009
- [j7]Charles J. Vaske, Carrie House, Truong Luu, Bryan Frank, Chen-Hsiang Yeang, Norman H. Lee, Joshua M. Stuart:
A Factor Graph Nested Effects Model To Identify Networks from Genetic Perturbations. PLoS Comput. Biol. 5(1) (2009) - [c11]Chen-Hsiang Yeang, Nils A. Baas:
Evolution of Domain Compositions in the Metabolic Networks of Human and Escherichia Coli. BIOCOMP 2009: 578-584 - [c10]Chen-Hsiang Yeang:
Analysis of the Bipartite Networks of Domain Compositions and Metabolic Reactions. BMEI 2009: 1-11 - [c9]Pinal N. Kanabar, Charles J. Vaske, Chen-Hsiang Yeang, Fitnat H. Yildiz, Joshua M. Stuart:
Inferring Disease-Related Pathways Using A Probabilistic Epistasis Model. Pacific Symposium on Biocomputing 2009: 480-491 - 2007
- [j6]Chen-Hsiang Yeang, David Haussler:
Detecting Coevolution in and among Protein Domains. PLoS Comput. Biol. 3(11) (2007) - 2006
- [j5]Chen-Hsiang Yeang, Martin Vingron:
A joint model of regulatory and metabolic networks. BMC Bioinform. 7: 332 (2006) - [j4]Chen-Hsiang Yeang, Tommi S. Jaakkola:
Modeling the Combinatorial Functions of Multiple Transcription Factors. J. Comput. Biol. 13(2): 463-480 (2006) - [c8]Luis Pérez-Breva, Luis E. Ortiz, Chen-Hsiang Yeang, Tommi S. Jaakkola:
Game Theoretic Algorithms for Protein-DNA binding. NIPS 2006: 1081-1088 - [c7]Jeremy Darot, Chen-Hsiang Yeang, David Haussler:
Detecting the Dependent Evolution of Biosequences. RECOMB 2006: 595-609 - 2005
- [j3]Chen-Hsiang Yeang, Tommi S. Jaakkola:
Time Series Analysis of Gene Expression and Location Data. Int. J. Artif. Intell. Tools 14(5): 755-770 (2005) - [c6]Chen-Hsiang Yeang, Tommi S. Jaakkola:
Modeling the Combinatorial Functions of Multiple Transcription Factors. RECOMB 2005: 506-521 - 2004
- [j2]Chen-Hsiang Yeang, Trey Ideker, Tommi S. Jaakkola:
Physical Network Models. J. Comput. Biol. 11(2/3): 243-262 (2004) - 2003
- [j1]Ryan M. Rifkin, Sayan Mukherjee, Pablo Tamayo, Sridhar Ramaswamy, Chen-Hsiang Yeang, Michael Angelo, Michael Reich, Tomaso A. Poggio, Eric S. Lander, Todd R. Golub, Jill P. Mesirov:
An Analytical Method for Multiclass Molecular Cancer Classification. SIAM Rev. 45(4): 706-723 (2003) - [c5]Chen-Hsiang Yeang, Tommi S. Jaakkola:
Time Series Analysis of Gene Expression and Location Data. BIBE 2003: 305-312 - [c4]Chen-Hsiang Yeang, Tommi S. Jaakkola:
Physical network models and multi-source data integration. RECOMB 2003: 312-321 - [c3]Chen-Hsiang Yeang, Martin Szummer:
Markov Random Walk Representations with Continuous Distributions. UAI 2003: 600-607 - 2002
- [c2]Chen-Hsiang Yeang:
An Information Geometric Perspective on Active Learning. ECML 2002: 480-492 - 2001
- [c1]Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo, Sayan Mukherjee, Ryan M. Rifkin, Michael Angelo, Michael Reich, Eric S. Lander, Jill P. Mesirov, Todd R. Golub:
Molecular classification of multiple tumor types. ISMB (Supplement of Bioinformatics) 2001: 316-322
Coauthor Index
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