Author

Charlotte Nelson

University of California, San FranciscoORCID 0000-0002-3687-1102Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexander M. WolffiD· 1 shared Alison M. MaxwelliD· 1 shared Andrew M. NataleiD· 1 shared Atul Janardhan ButteiD· 1 shared Beatrice E. AryiD· 1 shared Bruk MensaiD· 1 shared Cole V. M. HelselliD· 1 shared Cynthia M. ChioiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alexander M. WolffORCID

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2 papers

Recent·Most cited

Integrating Biomedical Research and Electronic Health Records to Create Knowledge Based Biologically Meaningful Machine Readable Embeddings

Charlotte Nelson, Atul Janardhan Butte, Sergio E. Baranzini

The paper integrates biomedical research with electronic health records to create biologically meaningful machine-readable embeddings for precision medicine.

Nature Communications · Jul 10, 2019Peer-reviewedSystems Biology

Extending Chemical Perturbations Of The Ubiquitin Fitness Landscape In A Classroom Setting

David Mavor, Kyle A. Barlow, Daniel E. Asarnow, Yuliya Birman, Derek Britain, Weilin Chen, Evan M. Green, Lillian R. Kenner, Bruk Mensa, Leanna S. Morinishi, Charlotte Nelson, Erin M. Poss, Pooja Suresh, Ruilin Tian, Taylor Arhar, , James S. Fraser

The paper uses deep mutational scanning to explore how chemical perturbations affect ubiquitin's mutational tolerance, revealing sensitization of most positions except two.

Biology Open · Jul 15, 2018Peer-reviewedBioinformatics