A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph
Authors
Keywords
Driver genes, Random walk, Subcellular localization, Variation frequency, Dysregulated genes, Genomic expression
Journal
BMC BIOINFORMATICS
Volume 20, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-05-14
DOI
10.1186/s12859-019-2847-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More