PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis

Improving the Assessment of the Outcome of Nonsynonymous SNVs with a Consensus Deleteriousness Score, Condel

(2011) Abel González-Pérez et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Integrated genomic analyses of ovarian carcinoma

(2011) D. Bell et al.   NATURE

Subtype and pathway specific responses to anticancer compounds in breast cancer

(2011) L. M. Heiser et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM

(2010) Charles J. Vaske et al.   BIOINFORMATICS

A method and server for predicting damaging missense mutations

(2010) Ivan A Adzhubei et al.   NATURE METHODS

A human functional protein interaction network and its application to cancer data analysis

(2010) Guanming Wu et al.   GENOME BIOLOGY

Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm

(2009) Prateek Kumar et al.   Nature Protocols