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

Using the CVF approach, an oncoprotein set was shown to be associated with a TCGA, low mutation-frequency group in nine distinct cancer types, versus six, ...

Cytoskeletal protein related coding regions (CPCRs), many of which are among the largest coding regions in the human genome (3), have long been thought to play ...

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, ...

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

The CVF approach allowed investigation of cytoskeletal protein-related coding regions (CPCRs), leading to the conclusion that mutation of CPCRs occurs at a ...

Evaluating the evaluation of cancer driver genes - PNAS

An alternative approach to finding cancer drivers employs ratiometric methods. Rather than attempting to determine whether the observed mutation rate of a gene ...

a causal approach for cancer driver discovery based on bio ...

As a result, a mutated gene can affect gene products further than its own, even in genes carrying no defects [7]. Taking this into consideration ...

Cancer driver mutations: predictions and reality - Cell Press

Cancer cells accumulate many genetic alterations throughout their lifetime, but only a few of them drive cancer progression, termed driver ...

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

In this approach, the driver genes were scored by combining their influence on DEGs in each neighbor subnetwork and their mutation frequency.

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

Cancer genomes contain large numbers of somatic mutations, but most are “passengers” that emerge simply as a result of genome instability during ...

DriverGroup: a novel method for identifying driver gene groups

Before evaluating the performance of DriverGroup in detecting cancer driver groups, we firstly assess its performance in detecting the influence ...

A computational approach for the discovery of significant cancer ...

Network analysis is essential, since genes affected by driver mutations tend to participate in common biological activities. Furthermore, ...

a deep learning approach for cancer driver gene discovery ... - bioRxiv

We found that the integration of multi-omics data can improve the performance of our method compared with using only somatic mutation data.

QuaDMutNetEx: a method for detecting cancer driver genes with low ...

Typically, mutations that do not confer growth advantage to tumors – passenger mutations – dominate the mutation landscape of tumor cell genome, ...

Cancer driver mutations: predictions and reality

Nowadays such approach is heavily based on genetic testing, but only a small fraction of patients harboring potential driver mutations (biomarkers) are enrolled ...

Evaluating the evaluation of cancer driver genes - PNAS

... gene prediction and a protocol to evaluate ... approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes.

Comprehensive Characterization of Cancer Driver Genes and ...

Overall, 9,919 predicted cancer driver mutations in our cohort (3,437 unique mutations) were identified by ≥2 approaches from CTAT population, ...

A Novel Machine Learning Method for Mutational Analysis to ...

However, for various reasons, some mutations are more likely to arise than others. Sequencing analysis has demonstrated that cancer-driver genes ...

Evaluating machine learning methodologies for identification of ...

This study proposes a model namely PCDG-Pred which works as a utility capable of distinguishing cancer driver and passenger attributes of genes based on ...

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

Method NEAdriver employs knowledge from global networks to predict novel cancer driver genes in an individualized manner, which is done by ...

Identifying cancer driver genes in individual tumours - ScienceDirect

One approach is to quantify the functional importance of individual mutations in a single tumour based on how they affect the expression of genes in a gene ...