Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities

by Goh, Wilson Wen Bin, Kong, Weijia, Wong, Limsoon
Published 2023

Resolving missing protein problems using functional class scoring

by Wong, Bertrand Jern Han, Kong, Weijia, Wong, Limsoon, Goh, Wilson Wen Bin
Published 2023

PROSE: phenotype-specific network signatures from individual proteomic samples

by Wong, Bertrand Jern Han, Kong, Weijia, Peng, Hui, Goh, Wilson Wen Bin
Published 2023

The importance of batch sensitization in missing value imputation

by Hui, Harvard Wai Hann, Kong, Weijia, Peng, Hui, Goh, Wilson Wen Bin
Published 2023

Dealing with missing values in proteomics data

by Kong, Weijia, Hui, Harvard Wai Hann, Peng, Hui, Goh, Wilson Wen Bin
Published 2023

Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference

by Peng, Hui, Wang, He, Kong, Weijia, Li, Jinyan, Goh, Wilson Wen Bin
Published 2024

PROTREC: a probability-based approach for recovering missing proteins based on biological networks

by Kong, Weijia, Wong, Bertrand Jern Han, Gao, Huanhuan, Guo, Tiannan, Liu, Xianming, Du, Xiaoxian, Wong, Limsoon, Goh, Wilson Wen Bin
Published 2022

Proteomic datasets of HeLa and SiHa cell lines acquired by DDA-PASEF and diaPASEF

by Huang, Zelu, Kong, Weijia, Wong, Bertrand Jernhan, Gao, Huanhuan, Guo, Tiannan, Liu, Xianming, Du, Xiaoxian, Wong, Limsoon, Bin Goh, Wilson Wen
Published 2023

ProJect: a powerful mixed-model missing value imputation method

by Kong, Weijia, Wong, Bertrand Jern Han, Hui, Harvard Wai Hann, Lim, Kai-Peng, Wang, Yulan, Wong, Limsoon, Goh, Wilson Wen Bin
Published 2023