Evaluating the evaluation of cancer driver genes

Pan-cancer detection of driver genes at the single-patient resolution

Identifying the complete repertoire of genes that drive cancer in individual patients is crucial for precision oncology.

DriverSubNet: A Novel Algorithm for Identifying Cancer Driver ...

Cancer is a globally prevalent threat to the overall survival of patients, and is driven by a few important cancer genes, viz., driver genes ( ...

ConsensusDriver Improves upon Individual Algorithms for Predicting ...

These findings assess state-of-the-art cancer driver prediction methods and develop a new and improved consensus-based approach for use in precision.

Comprehensive evaluation of computational methods for predicting ...

Various computational methods based on mutational frequency, network and function approaches have been developed to identify mutation driver genes in cancer ...

A Novel Approach to Evaluating Cancer Driver Gene Mutation ...

Abstract. Background: Oncoprotein genes are over-represented in statically defined, low mutation-frequency fractions of cancer genome atlas (TCGA) datasets, ...

Prediction of cancer driver genes and mutations - arXiv

established an evaluation framework to assess and compare method performances, circumventing the use of a gold standard. This framework includes ...

Bioinformatics Tool for Evaluating the Evaluation of Cancer Genes

Image: Flowchart of evaluation protocol portraying how a cancer driver gene prediction method of interest can be evaluated. The input to the ...

A Compendium of Mutational Cancer Driver Genes

... tumor somatic mutations are able to reveal the compendium of cancer driver genes. ... Evaluating the evaluation of cancer driver genes. Proc. Natl. Acad. Sci. 113 ...

Driver alterations in cancer genomes - Karchin Lab

The cancer-type specific classifiers were the first to successfully discriminate driver mutations in different cancer types. We also developed and validated a ...

Understanding oncogenicity of cancer driver genes and mutations in ...

Although alternative definitions and search methods have been developed to identify cancer driver genes and mutations, analyses of thousands of ...

KarchinLab/Tokheim_PNAS_2016: Evaluation protocol for ... - GitHub

A major goal of the huge public investment in large-scale cancer sequencing has been to find the majority of driver genes. Robust computational prediction ...

Ontology-based prediction of cancer driver genes - OUCI

AbstractIdentifying and distinguishing cancer driver genes among thousands of candidate mutations remains a major challenge. Accurate identification of ...

Cancer Driver Genes Prediction Using Machine Learning

Karchin, ''Evaluating the evaluation of cancer driver genes,'' Proc. Nat. Acad. Sci. USA, vol. 113, no. 50, pp. 14330–14335, Dec. 2016. [31] ...

Evolutionary Origins of Cancer Driver Genes and Implications for ...

It is thus of great interest to explore the evolutionary origins of cancer driver genes and the relevant mechanisms underlying the carcinogenesis. Moreover, the ...

Computational methods for cancer driver discovery: A survey

Genes which bear cancer driver mutations are considered as cancer drivers [6]. ... Evaluating the evaluation of cancer driver genes. Proc Natl Acad Sci U S A ...

Comprehensive Characterization of Cancer Driver Genes ... - BIOCEV

Any analysis focusing only on driver genes and mutations known in that cancer type would ... Evaluating the evaluation of cancer driver genes.

Characterization of potential driver mutations involved in human ...

Among the aforementioned known breast cancer driver genes, a tumor suppressor (TSG), TP53, is the top-mutated gene, with nearly 100% risk of ...

Individualized discovery of rare cancer drivers in global network ...

Evaluated likelihood of being a cancer driver in a two-step procedure. First, each of the N genes present in the network (N=19035) were ...

and multitask machine learning algorithm for the prediction of cancer ...

Cancer driver genes, i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of important functions in tumors, providing a selective ...

a novel method for prioritizing cancer driver genes using somatic ...

Evaluating the evaluation of cancer driver genes. Proc Natl Acad Sci U S A. 2016;113(50):14330–5. 8. Cheng F, Zhao J, Zhao Z. Advances in ...