Author

Muhammad Sahimi

University of Southern CaliforniaORCID 0000-0002-8009-542XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ali SahimiiD· 1 shared Justin K. IchidaiD· 1 shared Serveh KamravaiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 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

Ali SahimiORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 27, 2022

Machine-learning algorithm for identifying and predicting amyotrophic lateral sclerosis causal mutations

Serveh Kamrava, Ali Sahimi, Justin K. Ichida, Muhammad Sahimi

The paper develops a machine learning classifier to distinguish ALS-causative from non-ALS-causative variants with high accuracy using nine key mutation assessors.

DOI 10.1101/2022.03.27.485996

GWAS summary statisticsmachine learning (classical)

𝕏 PostBluesky