Author

Carolyn Xie

University of Nebraska–Lincoln

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:machine learning (classical)· 1

Frequent Co-Authors

Chi ZhangiD· 1 shared Yu ShiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Chi ZhangORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 10, 2021

Deeplearning based MHC epitope prediction for cancer neoantigen discovery

Carolyn Xie, Yu Shi, Chi Zhang

This paper uses XGBoost with tri-peptide similarity to predict MHC epitopes for cancer neoantigen discovery, tested on experimentally validated peptides.

2 citations

machine learning (classical)

𝕏 PostBluesky