Author

Weijia Kong

Nanyang Technological UniversityORCID 0009-0002-0307-6214Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:proteomics· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Wilson Wen Bin GohiD· 2 shared Bertrand Jern Han WongiD· 1 shared He WangiD· 1 shared Hui PengiD· 1 shared Jinyan LiiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Wilson Wen Bin GohORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedMay 9, 2024

Optimizing Proteomics Data Differential Expression Analysis via High-Performing Rules and Ensemble Inference

Hui Peng, He Wang, Weijia Kong…·Wilson Wen Bin Goh

The paper identifies optimal workflow combinations for proteomics differential expression analysis using frequent pattern mining and ensemble inference, improving accuracy across multiple quantification platforms.

68 citationstop 1%

proteomicsstatistical model

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BioinformaticsbioRxivPreprintNov 13, 2021

Single-sample proteome enrichment enables missing protein recovery and phenotype association

Bertrand Jern Han Wong, Weijia Kong, Wilson Wen Bin Goh

The paper introduces PROSE, a method to recover missing proteins and associate them with phenotypes using proteomic data from the Cancer Cell Line Encyclopedia.

DOI 10.1101/2021.11.13.468488

humanproteomics

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