Accurate prediction of deleterious protein kinase polymorphisms. - Ali Torkamani; Nicholas J. Schork (Bioinform., 2007)

Predicting functional regulatory polymorphisms. - Ali Torkamani; Nicholas J. Schork (Bioinform., 2008)

Prestige centrality-based functional outlier detection in gene expression analysis. - Ali Torkamani; Nicholas J. Schork (Bioinform., 2009)

An Application and Empirical Comparison of Statistical Analysis Methods for Associating Rare Variants to a Complex Phenotype. - Vikas Bansal 001; Ondrej Libiger; Ali Torkamani; Nicholas J. Schork (Pacific Symposium on Biocomputing, 2011)

SG-ADVISER mtDNA: a web server for mitochondrial DNA annotation with data from 200 samples of a healthy aging cohort. - Manuel Rueda; Ali Torkamani (BMC Bioinform., 2017)

Personalized Symptom Checker Using Medical Claims. - Sabin Kafle; Penny Pan; Ali Torkamani; Stevi Halley; John Powers; Hakan Kardes (HealthRecSys@RecSys, 2018)

SCOR: A secure international informatics infrastructure to investigate COVID-19. - Jean Louis Raisaro; Francesco Marino; Juan Ramón Troncoso-Pastoriza; Raphaelle Beau-Lejdstrom; Riccardo Bellazzi; Robert Murphy; Elmer V. Bernstam; Henry Wang; Mauro Bucalo; Yong Chen 016; Assaf Gottlieb; Arif Ozgun Harmanci; et al. (J. Am. Medical Informatics Assoc., 2020)

Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics. - Susanne Gerber; Lukás Pospísil; Stanislav Sys; Charlotte Hewel; Ali Torkamani; Illia Horenko (Frontiers Artif. Intell., 2021)

Firenze: Model Evaluation Using Weak Signals. - Bhavna Soman; Ali Torkamani; Michael J. Morais; Jeffrey Bickford; Baris Coskun (CAMLIS, 2022)

Impact of polygenic risk communication: an observational mobile application-based coronary artery disease study. - Evan D. Muse; Shang-Fu Chen; Shuchen Liu; Brianna Fernandez; Brian Schrader; Bhuvan Molparia; André Nicolás León; Raymond Lee; Neha Pubbi; Nolan Mejia; Christina Ren; Ahmed El-kalliny; et al. (npj Digit. Medicine, 2022)

Enhancing Security Control Production With Generative AI. - Chen Ling; Mina Ghashami; Vianne R. Gao; Ali Torkamani; Ruslan Vaulin; Nivedita Mangam; Bhavya Jain; Farhan Diwan; Malini SS; Mingrui Cheng; Shreya Tarur Kumar; Felix Candelario (CoRR, 2024)