Author

Ching-Chih Tu

National Yang Ming Chiao Tung University

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Jui‐Hung HungiD· 2 shared Chiao-Yu Hsieh· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Jui‐Hung HungORCID

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2 papers

Recent·Most cited

Reliable and accurate gene expression quantification with subpopulation structure-aware constraints for single-cell RNA sequencing

Ching-Chih Tu, Jui‐Hung Hung

Quasic improves scRNA-seq quantification by incorporating subpopulation structure, enhancing cell type identification and biological pathway detection.

bioRxiv · Nov 8, 2022 · PreprintBioinformatics

Estimating Intraclonal Heterogeneity and Subpopulation Changes from Perturbational Bulk Gene Expression Profiles in LINCS L1000 CMap by Premnas

Chiao-Yu Hsieh, Ching-Chih Tu, Jui‐Hung Hung

Premnas estimates subpopulation changes from bulk L1000 profiles in CMap by learning subpopulation representations from single-cell RNA-seq data, enabling new insights into drug responses and resistance.

bioRxiv · Aug 10, 2021 · PreprintBioinformatics