Vikas Pejaver

Vikas Pejaver

Postdoctoral fellow working at the intersection of biomedical data science, computational biology and machine learning

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

Published in Hum. Mutat., 2019

Recommended citation: Voskanian A, Katsonis P, Lichtarge O, Pejaver V, Radivojac P, Mooney SD, ..., Neuhausen S, Ziv E, Pal LR, Andreoletti G, Brenner S, Kann MG (2019) Assessing the performance of in-silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer. Hum. Mutat. 40(9) 1612-1622.

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