Cargando…

The Analysis of Relevant Gene Networks Based on Driver Genes in Breast Cancer

Background: The occurrence and development of breast cancer has a strong correlation with a person’s genetics. Therefore, it is important to analyze the genetic factors of breast cancer for future development of potential targeted therapies from the genetic level. Methods: In this study, we complete...

Descripción completa

Detalles Bibliográficos
Autores principales:	Qu, Luxuan, Wang, Zhiqiong, Zhang, Hao, Wang, Zhongyang, Liu, Caigang, Qian, Wei, Xin, Junchang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689550/ https://www.ncbi.nlm.nih.gov/pubmed/36428940 http://dx.doi.org/10.3390/diagnostics12112882

Ejemplares similares

Voxelwise-based Brain Function Network using Multi-Graph Model
por: Wang, Zhongyang, et al.
Publicado: (2018)

An Evolving Hypergraph Convolutional Network for the Diagnosis of Alzheimer’s Disease
por: Wang, Xinlei, et al.
Publicado: (2022)

NDCN-Brain: An Extensible Dynamic Functional Brain Network Model
por: Wang, Zhongyang, et al.
Publicado: (2022)

Interpretable Model Based on Pyramid Scene Parsing Features for Brain Tumor MRI Image Segmentation
por: Zhao, Mingyang, et al.
Publicado: (2022)

Custom 3D fMRI Registration Template Construction Method Based on Time-Series Fusion
por: Wang, Zhongyang, et al.
Publicado: (2022)

Improvements to the gastric cancer tumor-node-metastasis staging system based on computer-aided unsupervised clustering
por: Wang, Zhiqiong, et al.
Publicado: (2018)

Identification of potential genes related to breast cancer brain metastasis in breast cancer patients
por: Zhang, Lijian, et al.
Publicado: (2021)

The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes
por: Lu, Xinguo, et al.
Publicado: (2018)

Identification of driver genes based on gene mutational effects and network centrality
por: Tang, Yun-Yun, et al.
Publicado: (2021)

Prediction of Bone Metastasis in Breast Cancer Based on Minimal Driver Gene Set in Gene Dependency Network
por: Li, Jia-Nuo, et al.
Publicado: (2019)

Identifying driver genes involving gene dysregulated expression, tissue-specific expression and gene-gene network
por: Song, Junrong, et al.
Publicado: (2019)

Comprehensive characterization of clonality of driver genes revealing their clinical relevance in colorectal cancer
por: Shi, Jian, et al.
Publicado: (2022)

Identification of Driver Genes and Interaction Networks Related to Brain Metastasis in Breast Cancer Patients
por: Zhang, Haojie, et al.
Publicado: (2022)

Gene Network Biological Validity Based on Gene-Gene Interaction Relevance
por: Gómez-Vela, Francisco, et al.
Publicado: (2014)

LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network
por: Wei, Pi-Jing, et al.
Publicado: (2016)

Vasculogenic Mimicry in Breast Cancer: Clinical Relevance and Drivers
por: Morales-Guadarrama, Gabriela, et al.
Publicado: (2021)

Comprehensive analysis of the cancer driver genes in breast cancer demonstrates their roles in cancer prognosis and tumor microenvironment
por: Du, Xiao-wei, et al.
Publicado: (2021)

Pulmonary Nodule Detection Based on Multiscale Feature Fusion
por: Zhao, Yue, et al.
Publicado: (2022)

Prognostic genes of breast cancer revealed by gene co-expression network analysis
por: Shi, Huijie, et al.
Publicado: (2017)

Cancer Stem Cell-Related Gene Periostin: A Novel Prognostic Marker for Breast Cancer
por: Xu, Dongyang, et al.
Publicado: (2012)

Integrative analysis of cancer driver genes in prostate adenocarcinoma
por: Zhao, Xin, et al.
Publicado: (2019)

Gene relevance based on multiple evidences in complex networks
por: Di Nanni, Noemi, et al.
Publicado: (2019)

Identification of key genes of anti-programmed death ligand 1 for meningioma immunotherapy by bioinformatic analysis
por: Zhang, Lijian, et al.
Publicado: (2022)

The use of gene interaction networks to improve the identification of cancer driver genes
por: Ramsahai, Emilie, et al.
Publicado: (2017)

Synstable Fusion: A Network-Based Algorithm for Estimating Driver Genes in Fusion Structures
por: Xu, Mingzhe, et al.
Publicado: (2018)

Identifying overlapping mutated driver pathways by constructing gene networks in cancer
por: Wu, Hao, et al.
Publicado: (2015)

DriverGenePathway: Identifying driver genes and driver pathways in cancer based on MutSigCV and statistical methods
por: Xu, Xiaolu, et al.
Publicado: (2023)

deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks
por: Luo, Ping, et al.
Publicado: (2019)

DriverDB: an exome sequencing database for cancer driver gene identification
por: Cheng, Wei-Chung, et al.
Publicado: (2014)

Analysis of LAGEs Family Gene Signature and Prognostic Relevance in Breast Cancer
por: Khoa Ta, Hoang Dang, et al.
Publicado: (2021)

An Integrated Approach to Uncover Driver Genes in Breast Cancer Methylation Genomes
por: Shen, Xiaopei, et al.
Publicado: (2013)

Gene coexpression networks reveal key drivers of phenotypic divergence in porcine muscle
por: Zhao, Xiao, et al.
Publicado: (2015)

An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
por: Sun, Xiwei, et al.
Publicado: (2021)

Network embedding framework for driver gene discovery by combining functional and structural information
por: Chu, Xin, et al.
Publicado: (2023)

DriverDBv2: a database for human cancer driver gene research
por: Chung, I-Fang, et al.
Publicado: (2016)

DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph
por: Wang, Chenye, et al.
Publicado: (2022)

A network approach reveals driver genes associated with survival of patients with triple-negative breast cancer
por: Dill, Courtney D., et al.
Publicado: (2021)

The immune response‐related mutational signatures and driver genes in non‐small‐cell lung cancer
por: Chen, Hao, et al.
Publicado: (2019)

Detection of gene communities in multi-networks reveals cancer drivers
por: Cantini, Laura, et al.
Publicado: (2015)

Identification of osteosarcoma driver genes using a network method
por: Si, Zebing, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_pfhpviidusekhatrmlb3n26ehh