Related references
Note: Only part of the references are listed.Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning
Yu-An Huang et al.
BRIEFINGS IN BIOINFORMATICS (2021)
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network
Lei Wang et al.
BIOINFORMATICS (2020)
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions
Pengwei Hu et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2020)
Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer
Lin Yuan et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder
Han-Jing Jiang et al.
BIOMED RESEARCH INTERNATIONAL (2019)
DRMDA: deep representations-based miRNA-disease association prediction
Xing Chen et al.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE (2018)
A novel computational approach for drug repurposing using systems biology
Azam Peyvandipour et al.
BIOINFORMATICS (2018)
Predicting drug-disease associations by using similarity constrained matrix factorization
Wen Zhang et al.
BMC BIOINFORMATICS (2018)
Predicting Drug-Target Interactions Based on Small Positive Samples
Pengwei Hu et al.
CURRENT PROTEIN & PEPTIDE SCIENCE (2018)
DR2DI: a powerful computational tool for predicting novel drug-disease associations
Lu Lu et al.
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN (2018)
Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion
Chen Peng et al.
IEEE ACCESS (2018)
Learning Deep Representations in Large Integrated Network for Graph Clustering
Pengwei Hu et al.
2018 IEEE FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (AIKE) (2018)
Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping
Lin Yuan et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2017)
PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data
Feng He et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2017)
Enhancing the Promise of Drug Repositioning through Genetics
Jayne-Louise E. Pritchard et al.
FRONTIERS IN PHARMACOLOGY (2017)
Novel human microbe-disease association prediction using network consistency projection
Wenzheng Bao et al.
BMC BIOINFORMATICS (2017)
LRSSL: predict and interpret drug-disease associations based on data integration using sparse subspace learning
Xujun Liang et al.
BIOINFORMATICS (2017)
Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm
Huimin Luo et al.
BIOINFORMATICS (2016)
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition
Lin Zhu et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2016)
The UniProtKB guide to the human proteome
Lionel Breuza et al.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2016)
WBSMDA: Within and Between Score for MiRNA-Disease Association prediction
Xing Chen et al.
SCIENTIFIC REPORTS (2016)
DrugNet: Network-based drug-disease prioritization by integrating heterogeneous data
Victor Martinez et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2015)
Inferring drug-disease associations based on known protein complexes
Liang Yu et al.
BMC MEDICAL GENOMICS (2015)
Drug repositioning by integrating target information through a heterogeneous network model
Wenhui Wang et al.
BIOINFORMATICS (2014)
SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method
Su-Ping Deng et al.
METHODS (2014)
DrugBank 4.0: shedding new light on drug metabolism
Vivian Law et al.
NUCLEIC ACIDS RESEARCH (2014)
Systematic Analysis of New Drug Indications by Drug-Gene-Disease Coherent Subnetworks
L. Wang et al.
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY (2014)
LncRNADisease: a database for long-non-coding RNA-associated diseases
Geng Chen et al.
NUCLEIC ACIDS RESEARCH (2013)
Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data
Yongcui Wang et al.
PLOS ONE (2013)
Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization
Mehmet Gonen
BIOINFORMATICS (2012)
ChEMBL: a large-scale bioactivity database for drug discovery
Anna Gaulton et al.
NUCLEIC ACIDS RESEARCH (2012)
PREDICT: a method for inferring novel drug indications with application to personalized medicine
Assaf Gottlieb et al.
MOLECULAR SYSTEMS BIOLOGY (2011)
A side effect resource to capture phenotypic effects of drugs
Michael Kuhn et al.
MOLECULAR SYSTEMS BIOLOGY (2010)
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Steven M. Paul et al.
NATURE REVIEWS DRUG DISCOVERY (2010)
Text mining and manual curation of chemical-gene-disease networks for the Comparative Toxicogenomics Database (CTD)
Thomas C. Wiegers et al.
BMC BIOINFORMATICS (2009)
Molecular networks as sensors and drivers of common human diseases
Eric E. Schadt
NATURE (2009)
McKusick's Online Mendelian Inheritance in Man (OMIM®)
Joanna Amberger et al.
NUCLEIC ACIDS RESEARCH (2009)
A Dynamic Network Approach for the Study of Human Phenotypes
Cesar A. Hidalgo et al.
PLOS COMPUTATIONAL BIOLOGY (2009)
Translational disease interpretation with molecular networks
Anais Baudot et al.
GENOME BIOLOGY (2009)
Genetics of gene expression and its effect on disease
Valur Emilsson et al.
NATURE (2008)
The human disease network
Kwang-Il Goh et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
A text-mining analysis of the human phenome
MA van Driel et al.
EUROPEAN JOURNAL OF HUMAN GENETICS (2006)
Estimating the cost of new drug development: Is it really $802 million?
CP Adams et al.
HEALTH AFFAIRS (2006)
TTD: Therapeutic Target Database
X Chen et al.
NUCLEIC ACIDS RESEARCH (2002)
Share Paper
