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For: Goh WWB, Wong L. Advancing Clinical Proteomics via Analysis Based on Biological Complexes: A Tale of Five Paradigms. J Proteome Res 2016;15:3167-79. [DOI: 10.1021/acs.jproteome.6b00402] [Cited by in Crossref: 18] [Cited by in F6Publishing: 16] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 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]
2 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]
3 Ravichandran S, Banerjee U, Dr GD, Kandukuru R, Thakur C, Chakravortty D, Balaji KN, Singh A, Chandra N. VB10, a new blood biomarker for differential diagnosis and recovery monitoring of acute viral and bacterial infections. EBioMedicine 2021;67:103352. [PMID: 33906069 DOI: 10.1016/j.ebiom.2021.103352] [Reference Citation Analysis]
4 Goh WWB, Wong L. The Birth of Bio-data Science: Trends, Expectations, and Applications. Genomics Proteomics Bioinformatics 2020;18:5-15. [PMID: 32428604 DOI: 10.1016/j.gpb.2020.01.002] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
5 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]
6 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]
7 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: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 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]
9 Lualdi M, Fasano M. Statistical analysis of proteomics data: A review on feature selection. Journal of Proteomics 2019;198:18-26. [DOI: 10.1016/j.jprot.2018.12.004] [Cited by in Crossref: 29] [Cited by in F6Publishing: 29] [Article Influence: 9.7] [Reference Citation Analysis]
10 Belorkar A, Vadigepalli R, Wong L. SPSNet: subpopulation-sensitive network-based analysis of heterogeneous gene expression data. BMC Syst Biol 2018;12:28. [PMID: 29560831 DOI: 10.1186/s12918-018-0538-1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
11 Zhou L, Wong L, Goh WWB. Understanding missing proteins: a functional perspective. Drug Discovery Today 2018;23:644-51. [DOI: 10.1016/j.drudis.2017.11.011] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [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: 9] [Article Influence: 3.3] [Reference Citation Analysis]
13 Teh DBL, Prasad A, Jiang W, Ariffin MZ, Khanna S, Belorkar A, Wong L, Liu X, All AH. Transcriptome Analysis Reveals Neuroprotective aspects of Human Reactive Astrocytes induced by Interleukin 1β. Sci Rep 2017;7:13988. [PMID: 29070875 DOI: 10.1038/s41598-017-13174-w] [Cited by in Crossref: 28] [Cited by in F6Publishing: 30] [Article Influence: 5.6] [Reference Citation Analysis]
14 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: 7] [Article Influence: 1.6] [Reference Citation Analysis]
15 Goh WWB, Wong L. Class-paired Fuzzy SubNETs: A paired variant of the rank-based network analysis family for feature selection based on protein complexes. Proteomics 2017;17:e1700093. [PMID: 28390171 DOI: 10.1002/pmic.201700093] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
16 Goh WWB, Wang W, Wong L. Why Batch Effects Matter in Omics Data, and How to Avoid Them. Trends Biotechnol 2017;35:498-507. [PMID: 28351613 DOI: 10.1016/j.tibtech.2017.02.012] [Cited by in Crossref: 157] [Cited by in F6Publishing: 127] [Article Influence: 31.4] [Reference Citation Analysis]
17 Goh WW, Wong L. Protein complex-based analysis is resistant to the obfuscating consequences of batch effects --- a case study in clinical proteomics. BMC Genomics 2017;18:142. [PMID: 28361693 DOI: 10.1186/s12864-017-3490-3] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 1.8] [Reference Citation Analysis]
18 Wang W, Sue AC, Goh WWB. Feature selection in clinical proteomics: with great power comes great reproducibility. Drug Discov Today 2017;22:912-8. [PMID: 27988358 DOI: 10.1016/j.drudis.2016.12.006] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 3.7] [Reference Citation Analysis]
19 Goh WW. Fuzzy-FishNET: a highly reproducible protein complex-based approach for feature selection in comparative proteomics. BMC Med Genomics 2016;9:67. [PMID: 28117654 DOI: 10.1186/s12920-016-0228-z] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]