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。Introduction of Advanced Methods for Structure-based Drug Discovery
Bilal Shaker et al.
CURRENT BIOINFORMATICS (2021)
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites
Quanzhong Liu et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches
Tianyi Zhao et al.
BRIEFINGS IN BIOINFORMATICS (2021)
rs1990622 variant associates with Alzheimer's disease and regulates TMEM106B expression in human brain tissues
Yang Hu et al.
BMC MEDICINE (2021)
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks
Yan Zhu et al.
BRIEFINGS IN BIOINFORMATICS (2021)
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation
Lijun Cai et al.
BRIEFINGS IN BIOINFORMATICS (2021)
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases
Yanan Wang et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network
Jin Liu et al.
BRIEFINGS IN BIOINFORMATICS (2021)
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Qiangguo Jin et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison
Bosheng Song et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Integration of Multiple-Omics Data to Analyze the Population-Specific Differences for Coronary Artery Disease
Yang Hu et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2021)
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features
Ran Su et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Drug repositioning based on the heterogeneous information fusion graph convolutional network
Lijun Cai et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Predicting Drug-target Interactions via FM-DNN Learning
Jihong Wang et al.
CURRENT BIOINFORMATICS (2020)
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites
Fuyi Li et al.
BIOINFORMATICS (2020)
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency
Xiangzheng Fu et al.
BIOINFORMATICS (2020)
A Drug Target Interaction Prediction Based on LINE-RF Learning
Jihong Wang et al.
CURRENT BIOINFORMATICS (2020)
Identifying Breast Cancer-induced Gene Perturbations and its Application in Guiding Drug Repurposing
Jujuan Zhuang et al.
CURRENT BIOINFORMATICS (2020)
PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs
Cangzhi Jia et al.
BIOINFORMATICS (2020)
A multimodal deep learning framework for predicting drug-drug interaction events
Yifan Deng et al.
BIOINFORMATICS (2020)
DeepLGP: a novel deep learning method for prioritizing lncRNA target genes
Tianyi Zhao et al.
BIOINFORMATICS (2020)
Integrated Analysis of mRNA-seq and miRNA-seq to identify c-MYC, YAP1 and miR-3960 as Major Players in the Anticancer Effects of Caffeic Acid Phenethyl Ester in Human Small Cell Lung Cancer Cell Line
Fei Mo et al.
CURRENT GENE THERAPY (2020)
Exosomes: Structure, Biogenesis, Types and Application in Diagnosis and Gene and Drug Delivery
Shriya Agarwal et al.
CURRENT GENE THERAPY (2020)
Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning
Xiangxiang Zeng et al.
JOURNAL OF PROTEOME RESEARCH (2020)
DPDDI: a deep predictor for drug-drug interactions
Yue-Hua Feng et al.
BMC BIOINFORMATICS (2020)
rs34331204 regulates TSPAN13 expression and contributes to Alzheimer's disease with sex differences
Yang Hu et al.
BRAIN (2020)
ISCMF: Integrated similarity-constrained matrix factorization for drug-drug interaction prediction
Narjes Rohani et al.
NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS (2020)
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data
Ran Su et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
Predicting Drug Side Effects with Compact Integration of Heterogeneous Networks
Xian Zhao et al.
CURRENT BIOINFORMATICS (2019)
Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response
Ran Su et al.
METHODS (2019)
deepDR: a network-based deep learning approach to in silico drug repositioning
Xiangxiang Zeng et al.
BIOINFORMATICS (2019)
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
Guy Shtar et al.
PLOS ONE (2019)
Novel deep learning model for more accurate prediction of drug-drug interaction effects
Geonhee Lee et al.
BMC BIOINFORMATICS (2019)
Prediction of Disease Comorbidity Using HeteSim Scores based on Multiple Heterogeneous Networks
Xuegong Chen et al.
CURRENT GENE THERAPY (2019)
PubChem 2019 update: improved access to chemical data
Sunghwan Kim et al.
NUCLEIC ACIDS RESEARCH (2019)
IDNDDI: An Integrated Drug Similarity Network Method for Predicting Drug-Drug Interactions
Cheng Yan et al.
BIOINFORMATICS RESEARCH AND APPLICATIONS, ISBRA 2019 (2019)
Predicting Drug-Drug Interactions Using Deep Neural Network
Xinyu Hou et al.
ICMLC 2019: 2019 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (2019)
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik et al.
BIOINFORMATICS (2018)
DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function
Liang Cheng et al.
BIOINFORMATICS (2018)
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization
Hui Yu et al.
BMC SYSTEMS BIOLOGY (2018)
A meta-learning framework using representation learning to predict drug-drug interaction
S. S. Deepika et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
Andrej Kastrin et al.
PLOS ONE (2018)
Deep learning improves prediction of drug-drug and drug-food interactions
Jae Yong Ryu et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs
Jian-Yu Shi et al.
BMC BIOINFORMATICS (2018)
Manifold regularized matrix factorization for drug-drug interaction prediction
Wen Zhang et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
A review of network-based approaches to drug repositioning
Maryam Lotfi Shahreza et al.
BRIEFINGS IN BIOINFORMATICS (2018)
Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media
Santiago Vilar et al.
BRIEFINGS IN BIOINFORMATICS (2018)
KEGG: new perspectives on genomes, pathways, diseases and drugs
Minoru Kanehisa et al.
NUCLEIC ACIDS RESEARCH (2017)
Computational prediction of drug-drug interactions based on drugs functional similarities
Reza Ferdousi et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2017)
Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data
Wen Zhang et al.
BMC BIOINFORMATICS (2017)
The SIDER database of drugs and side effects
Michael Kuhn et al.
NUCLEIC ACIDS RESEARCH (2016)
A probabilistic approach for collective similarity-based drug-drug interaction prediction
Dhanya Sridhar et al.
BIOINFORMATICS (2016)
Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins
Martin Strazar et al.
BIOINFORMATICS (2016)
Computerized techniques pave the way for drug-drug interaction prediction and interpretation
Reza Safdari et al.
BIOIMPACTS (2016)
Large-scale exploration and analysis of drug combinations
Peng Li et al.
BIOINFORMATICS (2015)
Predicting drug side effects by multi-label learning and ensemble learning
Wen Zhang et al.
BMC BIOINFORMATICS (2015)
Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks
Kyunghyun Park et al.
PLOS ONE (2015)
Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
Ping Zhang et al.
SCIENTIFIC REPORTS (2015)
Metalearning: a survey of trends and technologies
Christiane Lemke et al.
ARTIFICIAL INTELLIGENCE REVIEW (2015)
Detection of Drug-Drug Interactions by Modeling Interaction Profile Fingerprints
Santiago Vilar et al.
PLOS ONE (2013)
Pharmacointeraction Network Models Predict Unknown Drug-Drug Interactions
Aurel Cami et al.
PLOS ONE (2013)
A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports
Nicholas P. Tatonetti et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2012)
Drug-drug interaction through molecular structure similarity analysis
Santiago Vilar et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2012)
INDI: a computational framework for inferring drug interactions and their associated recommendations
Assaf Gottlieb et al.
MOLECULAR SYSTEMS BIOLOGY (2012)
Data-Driven Prediction of Drug Effects and Interactions
Nicholas P. Tatonetti et al.
SCIENCE TRANSLATIONAL MEDICINE (2012)
DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs
Craig Knox et al.
NUCLEIC ACIDS RESEARCH (2011)
Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism
Luis Tari et al.
BIOINFORMATICS (2010)
KEGG for representation and analysis of molecular networks involving diseases and drugs
Minoru Kanehisa et al.
NUCLEIC ACIDS RESEARCH (2010)
Predicting Drug-Drug Interactions: An FDA Perspective
Lei Zhang et al.
AAPS JOURNAL (2009)
Predicting missing links via local information
Tao Zhou et al.
EUROPEAN PHYSICAL JOURNAL B (2009)
Opinion - Drugs, their targets and the nature and number of drug targets
Peter Imming et al.
NATURE REVIEWS DRUG DISCOVERY (2006)
Polypharmacy, adverse drug-related events, and potential adverse drug interactions in elderly patients presenting to an emergency department
CM Hohl et al.
ANNALS OF EMERGENCY MEDICINE (2001)