A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph

The Discovery of Mutated Driver Pathways in Cancer: Models and Algorithms

(2018) Junhua Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Discovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information

(2017) Jianing Xi et al.   Molecular BioSystems

LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network

(2016) Pi-Jing Wei et al.   BMC BIOINFORMATICS

Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information

(2016) Xiwei Tang et al.   BMC GENOMICS

Discovering potential cancer driver genes by an integrated network-based approach

(2016) Kai Shi et al.   Molecular BioSystems

Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes

(2015) Feixiong Cheng et al.   BRIEFINGS IN BIOINFORMATICS

Rechecking the Centrality-Lethality Rule in the Scope of Protein Subcellular Localization Interaction Networks

(2015) Xiaoqing Peng et al.   PLoS One

ContrastRank: a new method for ranking putative cancer driver genes and classification of tumor samples

(2014) Rui Tian et al.   BIOINFORMATICS

Studying Tumorigenesis through Network Evolution and Somatic Mutational Perturbations in the Cancer Interactome

(2014) Feixiong Cheng et al.   MOLECULAR BIOLOGY AND EVOLUTION

Discovery and saturation analysis of cancer genes across 21 tumour types

(2014) Michael S. Lawrence et al.   NATURE

NCG 4.0: the network of cancer genes in the era of massive mutational screenings of cancer genomes

(2014) Omer An et al.   Database-The Journal of Biological Databases and Curation

COMPARTMENTS: unification and visualization of protein subcellular localization evidence

(2014) J. X. Binder et al.   Database-The Journal of Biological Databases and Curation

DawnRank: discovering personalized driver genes in cancer

(2014) Jack P Hou et al.   Genome Medicine

Quantitative Protein Localization Signatures Reveal an Association between Spatial and Functional Divergences of Proteins

(2014) Lit-Hsin Loo et al.   PLoS Computational Biology

VarWalker: Personalized Mutation Network Analysis of Putative Cancer Genes from Next-Generation Sequencing Data

(2014) Peilin Jia et al.   PLoS Computational Biology

Mutational heterogeneity in cancer and the search for new cancer-associated genes

(2013) Michael S. Lawrence et al.   NATURE

Network-based stratification of tumor mutations

(2013) Matan Hofree et al.   NATURE METHODS

CoCiter: An Efficient Tool to Infer Gene Function by Assessing the Significance of Literature Co-Citation

(2013) Nan Qiao et al.   PLoS One

Integrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics

(2013) Ekta Khurana et al.   SCIENCE

Cancer Genome Landscapes

(2013) B. Vogelstein et al.   SCIENCE

DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer

(2013) Ali Bashashati et al.   GENOME BIOLOGY

MuSiC: Identifying mutational significance in cancer genomes

(2012) N. D. Dees et al.   GENOME RESEARCH

Navigating cancer network attractors for tumor-specific therapy

(2012) Pau Creixell et al.   NATURE BIOTECHNOLOGY

Algorithms for Detecting Significantly Mutated Pathways in Cancer

(2011) Fabio Vandin et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

International network of cancer genome projects

(2010) Thomas J. Hudson (Chairperson) et al.   NATURE

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

(2010) Guanming Wu et al.   GENOME BIOLOGY

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

(2009) Da Wei Huang et al.   Nature Protocols

Loss of PTEN expression is associated with colorectal cancer liver metastasis and poor patient survival

(2008) Hirozumi Sawai et al.   BMC GASTROENTEROLOGY

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

(2008) Roger McLendon et al.   NATURE