Identification of Cancer Hallmarks Based on the Gene Co-expression Networks of Seven Cancers
出版年份 2019 全文链接
标题
Identification of Cancer Hallmarks Based on the Gene Co-expression Networks of Seven Cancers
作者
关键词
-
出版物
Frontiers in Genetics
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-02-19
DOI
10.3389/fgene.2019.00099
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction
- (2018) Xing Chen et al. BIOINFORMATICS
- Predicting miRNA–disease association based on inductive matrix completion
- (2018) Xing Chen et al. BIOINFORMATICS
- Predicting drug-disease associations by using similarity constrained matrix factorization
- (2018) Wen Zhang et al. BMC BIOINFORMATICS
- Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network
- (2018) Wen Zhang et al. METHODS
- Feature-derived graph regularized matrix factorization for predicting drug side effects
- (2018) Wen Zhang et al. NEUROCOMPUTING
- The linear neighborhood propagation method for predicting long non-coding RNA–protein interactions
- (2018) Wen Zhang et al. NEUROCOMPUTING
- EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction
- (2018) Xing Chen et al. Cell Death & Disease
- OUP accepted manuscript
- (2018) BRIEFINGS IN BIOINFORMATICS
- MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction
- (2018) Xing Chen et al. PLoS Computational Biology
- Manifold regularized matrix factorization for drug-drug interaction prediction
- (2018) Wen Zhang et al. JOURNAL OF BIOMEDICAL INFORMATICS
- SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions
- (2018) Wen Zhang et al. PLoS Computational Biology
- LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
- (2017) Xing Chen et al. PLoS Computational Biology
- PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
- (2017) Zhu-Hong You et al. PLoS Computational Biology
- A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases
- (2016) Xing Chen et al. BIOINFORMATICS
- Long non-coding RNAs and complex diseases: from experimental results to computational models
- (2016) Xing Chen et al. BRIEFINGS IN BIOINFORMATICS
- Functional Genomic Screening Reveals Splicing of the EWS-FLI1 Fusion Transcript as a Vulnerability in Ewing Sarcoma
- (2016) Patrick J. Grohar et al. Cell Reports
- Cancer prevention as part of precision medicine: ‘plenty to be done’
- (2015) Bernard W. Stewart et al. CARCINOGENESIS
- DGIdb 2.0: mining clinically relevant drug–gene interactions
- (2015) Alex H. Wagner et al. NUCLEIC ACIDS RESEARCH
- Systematic pan-cancer analysis of tumour purity
- (2015) Dvir Aran et al. Nature Communications
- Using High-Throughput Transcriptomic Data for Prognosis: A Critical Overview and Perspectives
- (2014) Eytan Domany CANCER RESEARCH
- Construction and investigation of breast-cancer-specific ceRNA network based on the mRNA and miRNA expression data
- (2014) Xionghui Zhou et al. IET Systems Biology
- Phosphoproteomics Screen Reveals Akt Isoform-Specific Signals Linking RNA Processing to Lung Cancer
- (2014) Ioannis Sanidas et al. MOLECULAR CELL
- Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types
- (2014) Yang Yang et al. Nature Communications
- DrugBank 4.0: shedding new light on drug metabolism
- (2013) Vivian Law et al. NUCLEIC ACIDS RESEARCH
- Crosstalk between Wnt Signaling and RNA Processing in Colorectal Cancer
- (2013) Michael Bordonaro Journal of Cancer
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- The cell cycle and cancer
- (2011) Gareth H Williams et al. JOURNAL OF PATHOLOGY
- A general co-expression network-based approach to gene expression analysis: comparison and applications
- (2010) Jianhua Ruan et al. BMC Systems Biology
- Cancer: More of polygenic disease and less of multiple mutations? A quantitative viewpoint
- (2010) Anders Bredberg CANCER
- 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 conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started