Author

Wan‐Teck Lim

Agency for Science, Technology and ResearchORCID 0000-0002-4655-0206Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Chwee Teck LimiD· 2 shared Su Bin LimiD· 2 shared Swee Jin TaniD· 2 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Chwee Teck LimORCID

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2 papers

Recent·Most cited

BioinformaticsScientific DataPeer-reviewedOct 8, 2019

Compendiums of Cancer Transcriptome for Machine Learning Applications

Su Bin Lim, Swee Jin Tan, Wan‐Teck Lim, Chwee Teck Lim

The paper curates 11 merged microarray datasets for cancer research, showing they align with TCGA data and support machine learning models for cancer classification.

18 citations

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsbioRxivPreprintJun 22, 2018

Cross-platform meta-analysis reveals common matrisome variation associated with tumor genotypes and immunophenotypes in human cancers

Su Bin Lim, Swee Jin Tan, Wan‐Teck Lim, Chwee Teck Lim

The paper identifies common matrisome variations linked to tumor genotypes and immunophenotypes across cancers using a unified data resource.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky