| Chapter 5: Network biology approach to complex diseases DY Cho, YA Kim, TM Przytycka PLoS computational biology 8 (12), e1002820, 2012 | 332 | 2012 |
| Identification of biochemical networks by S-tree based genetic programming DY Cho, KH Cho, BT Zhang Bioinformatics 22 (13), 1631-1640, 2006 | 124 | 2006 |
| MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types YA Kim, DY Cho, P Dao, TM Przytycka Bioinformatics 31 (12), i284-i292, 2015 | 106 | 2015 |
| Mediation of Drosophilaautosomal dosage effects and compensation by network interactions JH Malone, DY Cho, NR Mattiuzzo, CG Artieri, L Jiang, RK Dale, ... Genome biology 13, 1-17, 2012 | 98 | 2012 |
| DNA copy number evolution in Drosophila cell lines H Lee, CJ McManus, DY Cho, M Eaton, F Renda, MP Somma, L Cherbas, ... Genome biology 15, 1-20, 2014 | 96 | 2014 |
| Transcription Factor Networks in Drosophila melanogaster DY Rhee, DY Cho, B Zhai, M Slattery, L Ma, J Mintseris, CY Wong, ... Cell Reports 8 (6), 2031-2043, 2014 | 92 | 2014 |
| Applying machine learning techniques to analysis of gene expression data: cancer diagnosis KB Hwang, DY Cho, SW Park, SD Kim, BT Zhang Methods of Microarray Data Analysis: Papers from CAMDA’00, 167-182, 2002 | 91 | 2002 |
| Understanding genotype-phenotype effects in cancer via network approaches YA Kim, DY Cho, TM Przytycka PLoS computational biology 12 (3), e1004747, 2016 | 72 | 2016 |
| Auto-Meta: Automated Gradient Based Meta Learner Search J Kim, Y Choi, M Cha, JK Lee, S Lee, S Kim, Y Choi, DY Cho, J Kim arXiv preprint arXiv:1806.06927, 2018 | 52 | 2018 |
| Genetic programming with active data selection BT Zhang, DY Cho Asia-Pacific Conference on Simulated Evolution and Learning, 146-153, 1998 | 44 | 1998 |
| Effects of Gene Dose, Chromatin, and Network Topology on Expression in Drosophila melanogaster H Lee, DY Cho, C Whitworth, R Eisman, M Phelps, J Roote, T Kaufman, ... PLoS genetics 12 (9), e1006295, 2016 | 40 | 2016 |
| Dissecting cancer heterogeneity with a probabilistic genotype-phenotype model DY Cho, TM Przytycka Research in Computational Molecular Biology, 30-31, 2013 | 37 | 2013 |
| Reprogramming of regulatory network using expression uncovers sex-specific gene regulation in Drosophila Y Wang, DY Cho, H Lee, J Fear, B Oliver, TM Przytycka Nature communications 9 (1), 4061, 2018 | 36 | 2018 |
| Meta continual learning R Vuorio, DY Cho, D Kim, J Kim arXiv preprint arXiv:1806.06928, 2018 | 36 | 2018 |
| A central role for PI3K-AKT signaling pathway in linking SAMHD1-deficiency to the type I interferon signature C Oh, J Ryoo, K Park, B Kim, MB Daly, DY Cho, K Ahn Scientific Reports 8 (84), 1-13, 2018 | 36 | 2018 |
| Continuous estimation of distribution algorithms with probabilistic principal component analysis DY Cho, BT Zhang Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No …, 2001 | 30 | 2001 |
| Evolutionary continuous optimization by distribution estimation with variational Bayesian independent component analyzers mixture model DY Cho, BT Zhang International Conference on Parallel Problem Solving from Nature, 212-221, 2004 | 28 | 2004 |
| System identification using evolutionary Markov chain Monte Carlo BT Zhang, DY Cho Journal of Systems Architecture 47 (7), 587-599, 2001 | 24 | 2001 |
| Study of Proposed Internet Congestion Control Mechanisms K Mills, J Filliben, D Cho, E Schwartz, D Genin NIST Special Publication, 2010 | 23* | 2010 |
| Human cytomegalovirus induces and exploits Roquin to counteract the IRF1-mediated antiviral state J Song, S Lee, DY Cho, S Lee, H Kim, N Yu, S Lee, K Ahn Proceedings of the National Academy of Sciences 116 (37), 18619-18628, 2019 | 17 | 2019 |
Teresa PrzytyckaNCBI / NLM / NIHDirección de correo verificada de ncbi.nlm.nih.gov
