Author

Li-Fang Chu

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 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Organism:human· 1

Frequent Co-Authors

Christina Kendziorski· 3 shared Ron Stewart· 3 shared James Thomson· 2 shared Jeea Choi· 2 shared Ning Leng· 2 shared James A. Thomson· 1 shared Keegan D. KorthaueriD· 1 shared Michael A. NewtoniD· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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3 shared papersBioinformatics

Christina Kendziorski

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3 papers

Recent·Most cited

GenomicsbioRxivMay 13, 2016

scDD: A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

Keegan D. Korthauer, Li-Fang Chu, Michael A. Newton…·Christina Kendziorski

scDD identifies differential expression patterns in single-cell RNA-seq by modeling complex distribution differences, outperforming existing methods in detecting subtle gene expression changes.

DOI 10.1186/s13059-016-1077-y

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 29, 2016

SCPattern: A statistical approach to identify and classify expression changes in single cell RNA-seq experiments with ordered conditions

Ning Leng, Li-Fang Chu, Jeea Choi…·Ron Stewart

SCPattern identifies and classifies expression changes in ordered scRNA-seq experiments using an empirical Bayes model with non-parametric statistics.

DOI 10.1101/046110

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivAug 25, 2015

OEFinder: A user interface to identify and visualize ordering effects in single-cell RNA-seq data

Ning Leng, Jeea Choi, Li-Fang Chu…·Ron Stewart

OEFinder identifies and visualizes ordering effects in Fluidigm C1 single-cell RNA-seq data to detect potential artifacts.

DOI 10.1093/bioinformatics/btw004

scRNA-seqstatistical model

𝕏 PostBluesky