Author

Leslie Cope

Johns Hopkins UniversityORCID 0000-0002-4098-3289Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alexander V. FavoroviD· 2 shared Annelise SokolowiD· 1 shared Bahman AfsariiD· 1 shared Brant G. WangiD· 1 shared Christopher Blair DouvilleiD· 1 shared Elana Judith FertigiD· 1 shared Ie‐Ming ShihiD· 1 shared Kellie Nicole SmithiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersImmunology

Alexander V. FavorovORCID

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3 papers

Recent·Most cited

replicateFest: An R Package and Shiny App for Analysis of T Cell Receptor Repertoire Data from the Functional Expansion

Ludmila Danilova, Alexander V. Favorov, Kellie Nicole Smith, Leslie Cope

replicateFest uses negative binomial models for replicated and Fisher's exact tests for unreplicated FEST TCR-seq to call antigen-expanded clonotypes, recovering all nine published HIV-1 responders.

Frontiers in Immunology · Oct 2, 2026Peer-reviewedImmunology✦ In-depth digest

Integrated Spatial Analysis of Ovarian Precancerous Lesions

T F M Chang, Yen‐Wei Chien, Serena H. Chen, Annelise Sokolow, Yeh Wang, Brant G. Wang, Tricia A. Numan, Michael Herman Chui, Rebecca Lynn Stone, Thomas R. Pisanic, Nickolas Papadopoulos, Tian‐Li Wang, Christopher Blair Douville, Leslie Cope, Ie‐Ming Shih

The paper identifies four subtypes of ovarian precancerous lesions and links them to genetic and molecular features associated with cancer progression.

bioRxiv · Jun 24, 2025 · PreprintMolecular Biology

REVA: a rank-based multi-dimensional measure of correlation

Bahman Afsari, Alexander V. Favorov, Elana Judith Fertig, Leslie Cope

The paper introduces REVA, a nonparametric correlation measure for multivariate data, showing it is robust to noise, high dimensions, and outliers, and applies it to cancer biology.

bioRxiv · May 25, 2018 · PreprintBioinformatics