| Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli M Kim, N Rai, V Zorraquino, I Tagkopoulos Nature communications 7 (1), 13090, 2016 | 163 | 2016 |
| Data integration and predictive modeling methods for multi-omics datasets M Kim, I Tagkopoulos Molecular omics 14 (1), 8-25, 2018 | 101 | 2018 |
| Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning R Bradley, I Tagkopoulos, M Kim, Y Kokkinos, T Panagiotakos, J Kennedy, ... Journal of veterinary internal medicine 33 (6), 2644-2656, 2019 | 64 | 2019 |
| A functional single nucleotide polymorphism at the promoter region of cyclin A2 is associated with increased risk of colon, liver, and lung cancers DH Kim, SE Park, M Kim, YI Ji, MY Kang, EH Jung, E Ko, Y Kim, S Kim, ... Cancer 117 (17), 4080-4091, 2011 | 59 | 2011 |
| The Genetic and Transcriptional Basis of Short and Long Term Adaptation across Multiple Stresses in Escherichia coli V Zorraquino, M Kim, N Rai, I Tagkopoulos Molecular Biology and Evolution 34 (3), 707-717, 2017 | 52 | 2017 |
| Increased power of mixed models facilitates association mapping of 10 loci for metabolic traits in an isolated population EE Kenny, M Kim, A Gusev, JK Lowe, J Salit, JG Smith, S Kovvali, ... Human molecular genetics 20 (4), 827, 2011 | 46 | 2011 |
| The computational diet: a review of computational methods across diet, microbiome, and health A Eetemadi, N Rai, BMP Pereira, M Kim, H Schmitz, I Tagkopoulos Frontiers in microbiology 11, 393, 2020 | 40 | 2020 |
| Compendium of synovial signatures identifies pathologic characteristics for predicting treatment response in rheumatoid arthritis patients KJ Kim, M Kim, IE Adamopoulos, I Tagkopoulos Clinical Immunology 202, 1-10, 2019 | 38 | 2019 |
| DeepPep: Deep proteome inference from peptide profiles M Kim, A Eetemadi, I Tagkopoulos PLoS computational biology 13 (9), e1005661, 2017 | 38 | 2017 |
| Predicting the evolution of Escherichia coli by a data-driven approach X Wang, V Zorraquino, M Kim, A Tsoukalas, I Tagkopoulos Nature communications 9 (1), 3562, 2018 | 36 | 2018 |
| Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles M Kim, V Zorraquino, I Tagkopoulos PLoS Computational Biology, 2015 | 33 | 2015 |
| Empirical prediction of genomic susceptibilities for multiple cancer classes M Kim, SH Kim Proceedings of the National Academy of Sciences 111 (5), 1921-1926, 2014 | 16 | 2014 |
| Population collapse and adaptive rescue during long‐term chemostat fermentation N Rai, L Huynh, M Kim, I Tagkopoulos Biotechnology and Bioengineering 116 (3), 693-703, 2019 | 9 | 2019 |
| Data integration and predictive modeling methods for multi-omics datasets. Mol Omics 14: 8–25 M Kim, I Tagkopoulos | 5 | 2018 |
| Predicting the evolution of Escherichia coli by a data-driven approach. Nat Commun 9: 3562 X Wang, V Zorraquino, M Kim, A Tsoukalas, I Tagkopoulos | 5 | 2018 |
| Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli. Nat. Commun. 7, 13090 M Kim, N Rai, V Zorraquino, I Tagkopoulos | 5 | 2016 |
| Deciphering the genetic and transcriptional basis of cross-stress responses in Escherichia coli under complex evolutionary scenarios V Zorraquino-Salvo, S Quinones-Soto, M Kim, N Rai, I Tagkopoulos bioRxiv, 010595, 2014 | 3 | 2014 |
| Identification of Differential, Health-Related Compounds in Chardonnay Marc through Network-Based Meta-Analysis G Simmons, F Lee, M Kim, R Holt, I Tagkopoulos Current Developments in Nutrition 4, nzaa045_108, 2020 | 2 | 2020 |
| Optimal trajectory generation of compass-gait biped based on passive dynamic walking M Kim, T Kim, HS Yang Proceedings of the 25th conference on Proceedings of the 25th IASTED …, 2007 | 2 | 2007 |
| Method for prescribing a clinical trial I Tagkopoulos, KIM Minseung US Patent App. 18/105,617, 2023 | 1 | 2023 |
Ilias TagkopoulosProfessor, Computer Science and Genome Center, University of California, DavisGeverifieerd e-mailadres voor ucdavis.edu