Author

James Huth

Boston 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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Abigail E. DescoteauxiD· 1 shared Abigail Glick· 1 shared Alexandra T. LioniD· 1 shared Christopher F. Thomas· 1 shared Cynthia A. BradhamiD· 1 shared Dakota Y. Hawkins· 1 shared Daniel T. ZuchiD· 1 shared Kelley R. McCutcheoniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Abigail E. DescoteauxORCID

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Author profile →

1 paper

Recent·Most cited

ICAT: A Novel Algorithm to Robustly Identify Cell States Following Perturbations in Single Cell Transcriptomes

Dakota Y. Hawkins, Daniel T. Zuch, James Huth, Nahomie Rodríguez-Sastre, Kelley R. McCutcheon, Abigail Glick, Alexandra T. Lion, Christopher F. Thomas, Abigail E. Descoteaux, William Evan Johnson, Cynthia A. Bradham

ICAT improves identification of cell states after perturbations in single-cell RNA sequencing by using self-supervised feature weighting and control-guided clustering.

Bioinformatics · Apr 22, 2023Peer-reviewedBioinformatics