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注意：仅列出部分参考文献，下载原文获取全部文献信息。Meta-Path Methods for Prioritizing Candidate Disease miRNAs
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Diogo M. Camacho et al.
CELL (2018)
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Yanli Wang et al.
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Minoru Kanehisa et al.
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Ali Ezzat et al.
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A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
Yunan Luo et al.
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Xiangxiang Zeng et al.
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Nansu Zong et al.
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Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data
Wen Zhang et al.
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Xing Chen et al.
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Jiao Li et al.
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Xiangxiang Zeng et al.
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STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data
Damian Szklarczyk et al.
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PubChem Substance and Compound databases
Sunghwan Kim et al.
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Huimin Luo et al.
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Ali Ezzat et al.
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Gang Fu et al.
BMC BIOINFORMATICS (2016)
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Xubo Wang et al.
CURRENT BIOINFORMATICS (2016)
An Empirical Study of Features Fusion Techniques for Protein-Protein Interaction Prediction
Jiancang Zeng et al.
CURRENT BIOINFORMATICS (2016)
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Dapeng Li et al.
CURRENT PROTEOMICS (2016)
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Wen Zhang et al.
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Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
Ping Zhang et al.
SCIENTIFIC REPORTS (2015)
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Tapio Pahikkala et al.
BRIEFINGS IN BIOINFORMATICS (2015)
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Hao Ding et al.
BRIEFINGS IN BIOINFORMATICS (2014)
A Discussion of MicroRNAs in Cancers
Shi Hua et al.
Current Bioinformatics (2014)
Review of Protein Subcellular Localization Prediction
Zhen Wang et al.
CURRENT BIOINFORMATICS (2014)
Drug-target interaction prediction via chemogenomic space: learning-based methods
Zaynab Mousavian et al.
EXPERT OPINION ON DRUG METABOLISM & TOXICOLOGY (2014)
Therapeutic target database update 2014: a resource for targeted therapeutics
Chu Qin et al.
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SuperPred: update on drug classification and target prediction
Janette Nickel et al.
NUCLEIC ACIDS RESEARCH (2014)
ASDCD: Antifungal Synergistic Drug Combination Database
Xing Chen et al.
PLOS ONE (2014)
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Yanbin Liu et al.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2014)
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Jian-Ping Mei et al.
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Yuhao Wang et al.
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Murat Can Cobanoglu et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2013)
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Twan van Laarhoven et al.
PLOS ONE (2013)
A Semi-Supervised Method for Drug-Target Interaction Prediction with Consistency in Networks
Hailin Chen et al.
PLOS ONE (2013)
CancerDR: Cancer Drug Resistance Database
Rahul Kumar et al.
SCIENTIFIC REPORTS (2013)
Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization
Mehmet Gonen
BIOINFORMATICS (2012)
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Nikolai Hecker et al.
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ChEMBL: a large-scale bioactivity database for drug discovery
Anna Gaulton et al.
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Hua Yu et al.
PLOS ONE (2012)
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Feixiong Cheng et al.
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Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
Zheng Xia et al.
BMC SYSTEMS BIOLOGY (2010)
A side effect resource to capture phenotypic effects of drugs
Michael Kuhn et al.
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How to improve R&D productivity: the pharmaceutical industry's grand challenge
Steven M. Paul et al.
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Supervised prediction of drug-target interactions using bipartite local models
Kevin Bleakley et al.
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Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
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Protein-ligand Docking: A Review of Recent Advances and Future Perspectives
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SuperTarget and Matador: resources for exploring drug-target relationships
Stefan Guenther et al.
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Statistical prediction of protein-chemical interactions based on chemical structure and mass spectrometry data
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Relating protein pharmacology by ligand chemistry
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BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities
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An introduction to ROC analysis
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Key factors in the rising cost of new drug discovery and development
M Dickson et al.
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A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum et al.
SCIENCE (2000)
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