Author

Lorna Tu

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

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aanchal MongiaiD· 1 shared Ankur SharmaiD· 1 shared Chayaporn SuphavilaiiD· 1 shared Niranjan NagarajaniD· 1 shared Rafael Peres da SilvaiD· 1 shared Ramanuj DasGuptaiD· 1 shared Shumei Chia· 1 shared

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2021-2021 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

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1 paper

Recent·Most cited

BioinformaticsGenome MedicinePeer-reviewedDec 1, 2021

Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

Chayaporn Suphavilai, Shumei Chia, Ankur Sharma…·Niranjan Nagarajan

The paper uses single-cell RNA-seq data to predict drug responses and combinations by analyzing intra-tumor transcriptomic heterogeneity in cancer cell lines.

58 citationstop 5%

humanscRNA-seq

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