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Minseung Kim
Minseung Kim
University of California, Davis
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Titel
Zitiert von
Zitiert von
Jahr
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
1572016
Data integration and predictive modeling methods for multi-omics datasets
M Kim, I Tagkopoulos
Molecular omics 14 (1), 8-25, 2018
962018
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
602019
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
582011
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
502017
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
442011
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
392020
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
342019
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
342018
DeepPep: Deep proteome inference from peptide profiles
M Kim, A Eetemadi, I Tagkopoulos
PLoS computational biology 13 (9), e1005661, 2017
342017
Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles
M Kim, V Zorraquino, I Tagkopoulos
PLoS Computational Biology, 2015
332015
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
142014
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
82019
Data integration and predictive modeling methods for multi-omics datasets. Mol Omics 14: 8–25
M Kim, I Tagkopoulos
52018
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
52018
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
52016
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
32014
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
22020
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
22007
Method for prescribing a clinical trial
I Tagkopoulos, KIM Minseung
US Patent App. 18/105,617, 2023
12023
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