Author

Amanda M. Burkhardt

University of Southern CaliforniaORCID 0000-0002-7326-474XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Guoyun KaoiD· 1 shared Houda AlachkariD· 1 shared Jaden MooreiD· 1 shared Jaqueline BritoiD· 1 shared Kerui PengiD· 1 shared Serghei ManguliD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Guoyun KaoORCID

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1 paper

Recent·Most cited

pyTCR: a comprehensive and scalable platform for TCR-Seq data analysis to facilitate reproducibility and rigor of immunogenomics research

Kerui Peng, Jaden Moore, Jaqueline Brito, Guoyun Kao, Amanda M. Burkhardt, Houda Alachkar, Serghei Mangul

pyTCR is a computational notebook platform for TCR-Seq analysis that provides flexibility, transparency, and user-friendliness for researchers with limited computational skills.

medRxiv · May 26, 2022 · PreprintGenetic & Genomic Medicine