O. Zelichov

A Novel System for Functional Determination of Variants of Uncertain Significance using Deep Convolutional Neural Networks

M. Vidne, G. Tarcic, Lior Zimmerman, 2020, Scientific Reports.

Identification of osimertinib-resistant EGFR L792 mutations by cfDNA sequencing: oncogenic activity assessment and prevalence in large cfDNA cohort

A. Shaw, T. Stinchcombe, G. Tarcic, 2019, Experimental Hematology & Oncology.

A novel deep learning pipeline for cell typing and phenotypic marker quantification in multiplex imaging

Ido D. Weiss, I. Barshack, Y. Shachaf, 2022, bioRxiv.

Clinical and Functional Characterization of Atypical KRAS/NRAS Mutations in Metastatic Colorectal Cancer

G. Mills, J. Marshall, R. Broaddus, 2021, Clinical Cancer Research.

A Novel System for Functional Determination of Variants of Uncertain Significance using Deep Convolutional Neural Networks

M. Vidne, G. Tarcic, Lior Zimmerman, 2020, Scientific Reports.

Novel Biomarker Proteins in Chronic Lymphocytic Leukemia: Impact on Diagnosis, Prognosis and Treatment

V. Shoshan-Barmatz, O. Zelichov, Tasleem Arif, 2016, PloS one.

Functional measurement of mitogen-activated protein kinase pathway activation predicts responsiveness of RAS-mutant cancers to MEK inhibitors.

M. Vidne, R. Kurzrock, G. Tarcic, 2021, European journal of cancer.