Author

Say Li Kong

Agency for Science, Technology and Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Vibhor KumariD· 2 shared Debarka SenguptaiD· 1 shared Indra Prakash JhaiD· 1 shared Madhu SharmaiD· 1 shared Neetesh Pandey· 1 shared Omkar ChandraiD· 1 shared Shreya V. MishraiD· 1 shared Smriti Chawla· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Vibhor KumarORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 17, 2022

Inferring functions of coding and non-coding genes using epigenomic patterns and deciphering the effect of combinatorics of transcription factors binding at promoters

Omkar Chandra, Madhu Sharma, Neetesh Pandey…·Vibhor Kumar

The paper predicts gene functions using epigenomic patterns and TF binding, achieving high accuracy and validating results with CRISPR screens and PubMed data.

1 citation

humanChIP-seq

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GenomicsNucleic Acids ResearchPeer-reviewedNov 13, 2020

UniPath: A uniform approach for pathway and gene-set based analysis of heterogeneity in single-cell epigenome and transcriptome profiles.

Smriti Chawla, Sudhagar Samydurai, Say Li Kong…·Vibhor Kumar

UniPath uses pathway and gene-set enrichment scores to analyze single-cell epigenome and transcriptome data, revealing biologically meaningful co-clustering and aiding in cancer cell regulation inference.

16 citations

mousescRNA-seq

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