Hyungwon Choi
Hyungwon Choi
Unknown affiliation
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Cited by
The CRAPome: a contaminant repository for affinity purification–mass spectrometry data
D Mellacheruvu, Z Wright, AL Couzens, JP Lambert, NA St-Denis, T Li, ...
Nature methods 10 (8), 730-736, 2013
Moving beyond P values: data analysis with estimation graphics
J Ho, T Tumkaya, S Aryal, H Choi, A Claridge-Chang
Nature methods 16 (7), 565-566, 2019
SAINT: probabilistic scoring of affinity purification–mass spectrometry data
H Choi, B Larsen, ZY Lin, A Breitkreutz, D Mellacheruvu, D Fermin, ZS Qin, ...
Nature methods 8 (1), 70-73, 2011
A global protein kinase and phosphatase interaction network in yeast
A Breitkreutz, H Choi, JR Sharom, L Boucher, V Neduva, B Larsen, ZY Lin, ...
Science 328 (5981), 1043-1046, 2010
DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics
CC Tsou, D Avtonomov, B Larsen, M Tucholska, H Choi, AC Gingras, ...
Nature methods 12 (3), 258-264, 2015
SAINTexpress: improvements and additional features in Significance Analysis of INTeractome software
G Teo, G Liu, J Zhang, AI Nesvizhskii, AC Gingras, H Choi
Journal of proteomics 100, 37-43, 2014
Protein interaction network of the mammalian Hippo pathway reveals mechanisms of kinase-phosphatase interactions
AL Couzens, JDR Knight, MJ Kean, G Teo, A Weiss, WH Dunham, ZY Lin, ...
Science signaling 6 (302), rs15-rs15, 2013
A quantitative chaperone interaction network reveals the architecture of cellular protein homeostasis pathways
M Taipale, G Tucker, J Peng, I Krykbaeva, ZY Lin, B Larsen, H Choi, ...
Cell 158 (2), 434-448, 2014
Significance analysis of spectral count data in label-free shotgun proteomics
H Choi, D Fermin, AI Nesvizhskii
Molecular & cellular proteomics 7 (12), 2373-2385, 2008
Proteomic Analysis of Trypanosoma cruzi Secretome: Characterization of Two Populations of Extracellular Vesicles and Soluble Proteins
E Bayer-Santos, C Aguilar-Bonavides, SP Rodrigues, EM Cordero, ...
Journal of proteome research 12 (2), 883-897, 2013
False discovery rates and related statistical concepts in mass spectrometry-based proteomics
H Choi, AI Nesvizhskii
Journal of proteome research 7 (01), 47-50, 2008
Differential dynamics of the mammalian mRNA and protein expression response to misfolding stress
Z Cheng, G Teo, S Krueger, TM Rock, HWL Koh, H Choi, C Vogel
Molecular systems biology 12 (1), 855, 2016
ProHits-viz: a suite of web tools for visualizing interaction proteomics data
JDR Knight, H Choi, GD Gupta, L Pelletier, B Raught, AI Nesvizhskii, ...
Nature methods 14 (7), 645-646, 2017
Analyzing protein‐protein interactions from affinity purification‐mass spectrometry data with SAINT
H Choi, G Liu, D Mellacheruvu, M Tyers, AC Gingras, AI Nesvizhskii
Current protocols in bioinformatics 39 (1), 8.15. 1-8.15. 23, 2012
Semisupervised model-based validation of peptide identifications in mass spectrometry-based proteomics
H Choi, AI Nesvizhskii
Journal of proteome research 7 (01), 254-265, 2008
Gene essentiality is a quantitative property linked to cellular evolvability
G Liu, MYJ Yong, M Yurieva, KG Srinivasan, J Liu, JSY Lim, M Poidinger, ...
Cell 163 (6), 1388-1399, 2015
mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry
G Teo, S Kim, CC Tsou, B Collins, AC Gingras, AI Nesvizhskii, H Choi
Journal of proteomics 129, 108-120, 2015
Metabolic signatures and risk of type 2 diabetes in a Chinese population: an untargeted metabolomics study using both LC-MS and GC-MS
Y Lu, Y Wang, CN Ong, T Subramaniam, HW Choi, JM Yuan, WP Koh, ...
Diabetologia 59, 2349-2359, 2016
Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling
H Choi, D Ghosh, AI Nesvizhskii
Journal of proteome research 7 (01), 286-292, 2008
Large-scale lipidomics identifies associations between plasma sphingolipids and T2DM incidence
WS Chew, F Torta, S Ji, H Choi, H Begum, X Sim, CM Khoo, EYH Khoo, ...
JCI insight 4 (13), 2019
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