Author

Ali Sahimi

University of Southern CaliforniaORCID 0000-0001-8958-349XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Justin K. IchidaiD· 2 shared Berislav V. ZlokovićiD· 1 shared Celest Wen Ting Seah· 1 shared D. Kim· 1 shared K. Senthilkumar· 1 shared Kim A. StaatsiD· 1 shared Kimberly A GrayiD· 1 shared Morgan Chateau· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Justin K. IchidaORCID

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2 papers

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)

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NeurosciencebioRxivPreprintJun 28, 2019

Small molecule inhibition of PIKFYVE kinase rescues gain- and loss-of-function C9ORF72 ALS/FTD disease processes in vivo

Kim A. Staats, Celest Wen Ting Seah, Ali Sahimi…·Justin K. Ichida

This study shows that inhibiting PIKFYVE kinase rescues both gain- and loss-of-function C9ORF72 disease mechanisms in mouse models of ALS/FTD.

16 citations

mouseexperimental assay

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