Article

The Integrative Method Based on Module-Network for Identifying Driver Genes in Cancer Subtypes

2017-12-14

Abstract excerpt

With advances in next-generation sequencing(NGS) technologies, large number of multiple types of high-throughput genomics data are available. A great challenge in exploring cancer mechanism is to identify the driver genes from the mutation genes by analyzing and integrating multi-types genomics data. Breast cancer is known as a heterogeneous disease. The identification of subtype-specific driver genes is critical...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c5719ca4-a6dc-5efa-a960-9312c741516c
DOI: 10.20944/preprints201712.0084.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

The Integrative Method Based on Module-Network for Identifying Driver Genes in Cancer SubtypesDOI 10.20944/preprints201712.0084.v1Read

The application of gene co-expression network reconstruction based on CNVs and gene expression microarray data in breast cancer.Semantic proximity Read

Construction and analysis of sample-specific driver modules for breast cancer.Semantic proximity Read

Improving existing analysis pipeline to identify and analyze cancer driver genes using multi-omics data.Semantic proximity Read

Identifying Cancer Specific Driver Modules Using a Network-Based Method.Semantic proximity Read

Driver gene detection through Bayesian network integration of mutation and expression profiles.Semantic proximity Read

Identification of Important Modules and Biomarkers in Breast Cancer Based on WGCNASemantic proximity Read

DriverGroup: a novel method for identifying driver gene groups.Semantic proximity Read

Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data.Semantic proximity Read

Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics dataSemantic proximity Read

<i>DriverGroup</i> : A novel method for identifying driver gene groupsSemantic proximity Read

Identification of breast cancer risk modules via an integrated strategy.Semantic proximity Read

Scene: Inferring subtype-specific ceRNA modules in breast cancerSemantic proximity Read