Author

Ashok Sivakumar

Johns Hopkins 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

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Collin J. TokheimiD· 1 shared Rachel KarchiniD· 1 shared Rohit BhattacharyaiD· 1 shared Valsamo AnagnostouiD· 1 shared Victor E. VelculescuiD· 1 shared Violeta Beleva GuthrieiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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

Collin J. TokheimORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins

Rohit Bhattacharya, Ashok Sivakumar, Collin J. Tokheim, Violeta Beleva Guthrie, Valsamo Anagnostou, Victor E. Velculescu, Rachel Karchin

This study evaluates machine learning methods for predicting peptide-MHC Class I binding affinities, finding that MHCnuggets performs similarly to existing methods but is faster and handles variable-length peptides.

bioRxiv · Jul 27, 2017 · PreprintBioinformatics