Author

Larisa Kamga

University of Massachusetts Chan Medical SchoolORCID 0000-0002-5307-6776Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Anna GiliD· 2 shared Dario GhersiiD· 2 shared Katherine LuzuriagaiD· 2 shared Inyoung Song· 1 shared Lawrence J. Stern· 1 shared Liisa K. Selin· 1 shared Liisa Kaarina SeliniD· 1 shared Nuray Aslan· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Anna GilORCID

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2 papers

Recent·Most cited

SwarmTCR: a computational approach to predict the specificity of T Cell Receptors

Ryan Ehrlich, Larisa Kamga, Anna Gil, Katherine Luzuriaga, Liisa Kaarina Selin, Dario Ghersi

SwarmTCR predicts T cell receptor specificity using a nearest-neighbor approach, outperforming TCRdist on specific epitopes with single-cell and bulk data.

BMC Bioinformatics · Sep 7, 2021Peer-reviewedBioinformatics

High diversity, turnover, and structural constraints characterize TCR α and β repertoire selection

Larisa Kamga, Anna Gil, Inyoung Song, Ramakanth Chirravuri, Nuray Aslan, Dario Ghersi, Lawrence J. Stern, Liisa K. Selin, Katherine Luzuriaga

The paper examines TCR α and β repertoire dynamics during EBV infection, finding that persistent clonotypes are highly expanded in acute infection and replaced by new clonotypes in convalescence.

bioRxiv · Sep 29, 2018 · PreprintImmunology