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For: Goh WWB, Wong L. NetProt: Complex-based Feature Selection. J Proteome Res 2017;16:3102-12. [PMID: 28664733 DOI: 10.1021/acs.jproteome.7b00363] [Cited by in Crossref: 8] [Cited by in F6Publishing: 12] [Article Influence: 1.6] [Reference Citation Analysis]
Number Citing Articles
1 Gao J, He J, Zhang F, Xiao Q, Cai X, Yi X, Zheng S, Zhang Y, Wang D, Zhu G, Wang J, Shen B, Ralser M, Guo T, Zhu Y. Integration of protein context improves protein-based COVID-19 patient stratification. Clin Proteomics 2022;19:31. [PMID: 35953823 DOI: 10.1186/s12014-022-09370-0] [Reference Citation Analysis]
2 Wong BJH, Kong W, Wong L, Goh WWB. Resolving missing protein problems using functional class scoring. Sci Rep 2022;12:11358. [PMID: 35790756 DOI: 10.1038/s41598-022-15314-3] [Reference Citation Analysis]
3 Kong W, Wong BJH, Gao H, Guo T, Liu X, Du X, Wong L, Goh WWB. PROTREC: A probability-based approach for recovering missing proteins based on biological networks. J Proteomics 2022;250:104392. [PMID: 34626823 DOI: 10.1016/j.jprot.2021.104392] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
4 Wang LR, Wong L, Goh WWB. How doppelgänger effects in biomedical data confound machine learning. Drug Discov Today 2021:S1359-6446(21)00455-4. [PMID: 34743902 DOI: 10.1016/j.drudis.2021.10.017] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
5 Gakii C, Rimiru R. Identification of cancer related genes using feature selection and association rule mining. Informatics in Medicine Unlocked 2021;24:100595. [DOI: 10.1016/j.imu.2021.100595] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
6 Zhao Y, Wong L, Goh WWB. How to do quantile normalization correctly for gene expression data analyses. Sci Rep 2020;10:15534. [PMID: 32968196 DOI: 10.1038/s41598-020-72664-6] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
7 Wen Bin Goh W, Thalappilly S, Thibault G. Moving beyond the current limits of data analysis in longevity and healthy lifespan studies. Drug Discov Today 2019;24:2273-85. [PMID: 31499187 DOI: 10.1016/j.drudis.2019.08.008] [Reference Citation Analysis]
8 Goh WWB, Wong L. Advanced bioinformatics methods for practical applications in proteomics. Brief Bioinform 2019;20:347-55. [PMID: 30657890 DOI: 10.1093/bib/bbx128] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
9 Goh WWB, Zhao Y, Sue AC, Guo T, Wong L. Proteomic investigation of intra-tumor heterogeneity using network-based contextualization - A case study on prostate cancer. J Proteomics 2019;206:103446. [PMID: 31323421 DOI: 10.1016/j.jprot.2019.103446] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
10 Zhao Y, Sue AC, Goh WWB. Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data. J Bioinform Comput Biol 2019;17:1950013. [DOI: 10.1142/s0219720019500136] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
11 Liang S, Ma A, Yang S, Wang Y, Ma Q. A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis. Comput Struct Biotechnol J 2018;16:88-97. [PMID: 30275937 DOI: 10.1016/j.csbj.2018.02.005] [Cited by in Crossref: 21] [Cited by in F6Publishing: 9] [Article Influence: 5.3] [Reference Citation Analysis]
12 Goh WWB, Wong L. Dealing with Confounders in Omics Analysis. Trends Biotechnol 2018;36:488-98. [PMID: 29475622 DOI: 10.1016/j.tibtech.2018.01.013] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 3.3] [Reference Citation Analysis]