Author

Ashkan Bigdeli

Drexel UniversityORCID 0009-0000-6170-152XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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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 Akshay Chitturi· 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

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1 shared paperGenomics

A. Craig MackinnonORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintApr 18, 2025

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

Ashkan Bigdeli, Darshan Shimoga Chandrashekar, Akshay Chitturi…·Robert B. Faryabi

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

1 citation

humanwhole-exome sequencing

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