Vikas Pejaver

Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework

Elizabeth Brunk, Binghuang Cai, Yang Zhang, 2017, Genome Medicine.

Big Data in Public Health: Terminology, Machine Learning, and Privacy.

Stephen J Mooney, Vikas Pejaver, S. Mooney, 2018, Annual review of public health.

Gene Cluster Prediction and Its Application to Genome Annotation

Sun Kim, Heewook Lee, Vikas Pejaver, 2011 .

Assessing the performance of in silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer

Olivier Lichtarge, Predrag Radivojac, Emidio Capriotti, 2019, Human mutation.

Missense variant pathogenicity predictors generalize well across a range of function‐specific prediction challenges

Predrag Radivojac, Sean D Mooney, Vikas Pejaver, 2017, Human mutation.

MutPred2: inferring the molecular and phenotypic impact of amino acid variants

Lilia M. Iakoucheva, Predrag Radivojac, Jose Lugo-Martinez, 2017, bioRxiv.

Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges

Silvio C. E. Tosatto, Alexander A. Morgan, Yanay Ofran, 2017, Human mutation.

REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.

Trevor Hastie, Predrag Radivojac, Saurabh Baheti, 2016, American journal of human genetics.

The structural and functional signatures of proteins that undergo multiple events of post‐translational modification

Predrag Radivojac, Fuxiao Xin, Wei‐Lun Hsu, 2014, Protein science : a publication of the Protein Society.