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Shibiao WAN
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Cited by
Year
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines
S Wan, MW Mak, SY Kung
BMC bioinformatics 13, 1-16, 2012
1652012
GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition
S Wan, MW Mak, SY Kung
Journal of theoretical biology 323, 40-48, 2013
1532013
A critical role for estrogen-related receptor signaling in cardiac maturation
T Sakamoto, TR Matsuura, S Wan, DM Ryba, J Kim, KJ Won, L Lai, ...
Circulation research 126 (12), 1685-1702, 2020
912020
HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins
S Wan, MW Mak, SY Kung
PloS one 9 (3), e89545, 2014
782014
mPLR-Loc: An adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction
S Wan, MW Mak, SY Kung
Analytical biochemistry 473, 14-27, 2015
662015
SHARP: hyperfast and accurate processing of single-cell RNA-seq data via ensemble random projection
S Wan, J Kim, KJ Won
Genome research 30 (2), 205-213, 2020
612020
Machine learning for protein subcellular localization prediction
S Wan, MW Mak
Walter de Gruyter GmbH & Co KG, 2015
492015
R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization
S Wan, MW Mak, SY Kung
Journal of theoretical biology 360, 34-45, 2014
482014
Transductive learning for multi-label protein subchloroplast localization prediction
S Wan, MW Mak, SY Kung
IEEE/ACM transactions on computational biology and bioinformatics 14 (1 …, 2016
412016
Ensemble linear neighborhood propagation for predicting subchloroplast localization of multi-location proteins
S Wan, MW Mak, SY Kung
Journal of proteome research 15 (12), 4755-4762, 2016
382016
mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor
S Wan, MW Mak, SY Kung
Journal of theoretical biology 382, 223-234, 2015
372015
Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins
S Wan, MW Mak, SY Kung
BMC bioinformatics 17, 1-17, 2016
352016
Mem-ADSVM: A two-layer multi-label predictor for identifying multi-functional types of membrane proteins
S Wan, MW Mak, SY Kung
Journal of theoretical biology 398, 32-42, 2016
352016
FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms
S Wan, MW Mak, SY Kung
Bioinformatics 33 (5), 749-750, 2017
332017
Targeting the spliceosome through RBM39 degradation results in exceptional responses in high-risk neuroblastoma models
S Singh, W Quarni, M Goralski, S Wan, H Jin, LA Van de Velde, J Fang, ...
Science advances 7 (47), eabj5405, 2021
322021
Mem-mEN: predicting multi-functional types of membrane proteins by interpretable elastic nets
S Wan, MW Mak, SY Kung
IEEE/ACM transactions on computational biology and bioinformatics 13 (4 …, 2015
302015
Gram-LocEN: Interpretable prediction of subcellular multi-localization of Gram-positive and Gram-negative bacterial proteins
S Wan, MW Mak, SY Kung
Chemometrics and Intelligent Laboratory Systems 162, 1-9, 2017
272017
MondoA drives muscle lipid accumulation and insulin resistance
B Ahn, S Wan, N Jaiswal, RB Vega, DE Ayer, PM Titchenell, X Han, ...
JCI insight 4 (15), 2019
262019
Predicting subcellular localization of multi-location proteins by improving support vector machines with an adaptive-decision scheme
S Wan, MW Mak
International journal of machine learning and cybernetics 9, 399-411, 2018
262018
Protein subcellular localization prediction based on profile alignment and Gene Ontology
S Wan, MW Mak, SY Kung
2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011
262011
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Articles 1–20