A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-03-03
DOI
10.1093/bioinformatics/btaa157
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Bipartite graphs in systems biology and medicine: a survey of methods and applications
- (2018) Georgios A Pavlopoulos et al. GigaScience
- MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction
- (2018) Xing Chen et al. PLoS Computational Biology
- HMDD v3.0: a database for experimentally supported human microRNA–disease associations
- (2018) Zhou Huang et al. NUCLEIC ACIDS RESEARCH
- Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization
- (2017) Ali Ezzat et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources
- (2017) Yuansheng Liu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
- (2017) Yunan Luo et al. Nature Communications
- PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
- (2017) Zhu-Hong You et al. PLoS Computational Biology
- Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm
- (2016) Huimin Luo et al. BIOINFORMATICS
- dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers
- (2016) Zhen Yang et al. NUCLEIC ACIDS RESEARCH
- Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
- (2016) Yong Liu et al. PLoS Computational Biology
- Prediction of potential disease-associated microRNAs based on random walk
- (2015) Ping Xuan et al. BIOINFORMATICS
- miR-92a family and their target genes in tumorigenesis and metastasis
- (2014) Molin Li et al. EXPERIMENTAL CELL RESEARCH
- miRCancer: a microRNA-cancer association database constructed by text mining on literature
- (2013) B. Xie et al. BIOINFORMATICS
- HMDD v2.0: a database for experimentally supported human microRNA and disease associations
- (2013) Yang Li et al. NUCLEIC ACIDS RESEARCH
- Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization
- (2012) M. Gonen BIOINFORMATICS
- Drug–target interaction prediction by learning from local information and neighbors
- (2012) Jian-Ping Mei et al. BIOINFORMATICS
- Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
- (2010) Dong Wang et al. BIOINFORMATICS
- Network medicine: a network-based approach to human disease
- (2010) Albert-László Barabási et al. NATURE REVIEWS GENETICS
- Supervised prediction of drug–target interactions using bipartite local models
- (2009) Kevin Bleakley et al. BIOINFORMATICS
- Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
- (2008) Y. Yamanishi et al. BIOINFORMATICS
- Protein networks in disease
- (2008) T. Ideker et al. GENOME RESEARCH
- Convex and Semi-Nonnegative Matrix Factorizations
- (2008) C.H.Q. Ding et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started