Author

Lyndsay M. Murrow

University of California, San FranciscoORCID 0000-0002-5935-8977Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Research Focus:batch correction / integration· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Christopher S. McGinnisiD· 3 shared Zev J. GartneriD· 3 shared Alexander D. BorowskyiD· 1 shared Daniel N. ConradiD· 1 shared David M. Patterson· 1 shared Eric D. ChowiD· 1 shared Gabrielle Rabadam· 1 shared Jennifer L. HuiD· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersSystems Biology

Christopher S. McGinnisORCID

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3 papers

Recent·Most cited

Changes in epithelial proportions and transcriptional state underlie major premenopausal breast cancer risks

Lyndsay M. Murrow, Robert J. Weber, Joseph A. Caruso, Christopher S. McGinnis, Kiet T. Phong, Philippe D. Gascard, Gabrielle Rabadam, Alexander D. Borowsky, Tejal Ashwin Desai, Matthew Thomson, Thea Dorothy Tlsty, Zev J. Gartner

This study identifies how changes in epithelial proportions and transcriptional states influenced by pregnancy and BMI affect hormone signaling and breast cancer risk in premenopausal women.

Cell Systems · Jul 20, 2022Peer-reviewedSystems Biology

MULTI-seq: Scalable sample multiplexing for single-cell RNA sequencing using lipid-tagged indices

Christopher S. McGinnis, David M. Patterson, Juliane Winkler, Daniel N. Conrad, Marco Y. Hein, Vasudha Srivastava, Jennifer L. Hu, Lyndsay M. Murrow, Jonathan S. Weissman, Zena Werb, Eric D. Chow, Zev J. Gartner

The paper introduces MULTI-seq, a method for scalable sample multiplexing in scRNA-seq, enabling analysis of multiple tissues and perturbation experiments while improving data quality.

Nature Methods · Jun 17, 2019Peer-reviewedGenomics

DoubletFinder: Doublet detection in single-cell RNA sequencing data using artificial nearest neighbors

Christopher S. McGinnis, Lyndsay M. Murrow, Zev J. Gartner

DoubletFinder detects doublets in scRNA-seq data by comparing cell expression profiles to artificial doublets generated from real data.

Cell Systems · Apr 1, 2019Peer-reviewedBioinformatics