Author

Heather J. Zhou

University of California, Los AngelesORCID 0000-0001-9869-4896Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:eQTL / molecular QTL mapping· 2 Organism:C. elegans· 1 Research Focus:clustering· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Jingyi Jessica LiiD· 3 shared Lei LiiD· 1 shared Wei LiiD· 1 shared Xinzhou GeiD· 1 shared Yidan Eden SuniD· 1 shared Yumei LiiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 8 mutual co-author links

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3 shared papersBioinformatics

Jingyi Jessica LiORCID

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3 papers

Recent·Most cited

ClipperQTL: ultrafast and powerful eGene identification method

Heather J. Zhou, Xinzhou Ge, Jingyi Jessica Li

ClipperQTL identifies eGenes efficiently by reducing permutations needed for large datasets while maintaining performance comparable to FastQTL.

Genome biology · Jul 16, 2025Peer-reviewedGenetics

PCA outperforms popular hidden variable inference methods for QTL mapping

Heather J. Zhou, Lei Li, Yumei Li, Wei Li, Jingyi Jessica Li

The paper benchmarks PCA against hidden variable inference methods for QTL mapping, finding PCA to be faster, better-performing, and more interpretable.

bioRxiv · Mar 9, 2022 · PreprintBioinformatics

Bipartite Tight Spectral Clustering (BiTSC) Algorithm for Identifying Conserved Gene Co-clusters in Two Species

Yidan Eden Sun, Heather J. Zhou, Jingyi Jessica Li

The paper introduces BiTSC, an algorithm for identifying conserved gene co-clusters across two species using orthology and expression data, showing its accuracy and biological relevance.

Bioinformatics · Aug 13, 2020Peer-reviewedBioinformatics