Author

Akshay Chitturi

University of Pennsylvania

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

Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

A. Craig MackinnoniD· 1 shared Ahmet SaçaniD· 1 shared Ashkan BigdeliiD· 1 shared Chase Rushton· 1 shared Darshan Shimoga ChandrashekariD· 1 shared Jeremy P. SegaliD· 1 shared Robert B. FaryabiiD· 1 shared Shuko HaradaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 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 paperGenomics

A. Craig MackinnonORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Azurify integrates cancer genomics with machine learning to classify the clinical significance of somatic variants

Ashkan Bigdeli, Darshan Shimoga Chandrashekar, Akshay Chitturi, Chase Rushton, A. Craig Mackinnon, Jeremy P. Segal, Shuko Harada, Ahmet Saçan, Robert B. Faryabi

Azurify classifies somatic variants' clinical significance using machine learning and integrates with clinical data, achieving high accuracy in external validation.

bioRxiv · Apr 18, 2025 · PreprintGenomics