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An eigenvalue transformation technique for predicting drug-target interaction

https://doi.org/10.1038/srep13867
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0022-2836(81)90087-5openalex-snapshot
Identification of common molecular subsequences
inferredcites →https://doi.org/10.1016/j.patrec.2005.10.010openalex-snapshot
An introduction to ROC analysis
inferredcites →https://doi.org/10.1039/c2mb00002dopenalex-snapshot
Drug–target interaction prediction by random walk on the heterogeneous network
inferredcites →https://doi.org/10.1093/bioinformatics/btn162openalex-snapshot
Prediction of drug–target interaction networks from the integration of chemical and genomic spaces
inferredcites →https://doi.org/10.1093/bioinformatics/btp433openalex-snapshot
Supervised prediction of drug–target interactions using bipartite local models
inferredcites →https://doi.org/10.1093/bioinformatics/btq176openalex-snapshot
Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
inferredcites →https://doi.org/10.1093/bioinformatics/btr500openalex-snapshot
Gaussian interaction profile kernels for predicting drug–target interaction
inferredcites →https://doi.org/10.1093/bioinformatics/bts360openalex-snapshot
Predicting drug–target interactions from chemical and genomic kernels using Bayesian matrix factorization
inferredcites →https://doi.org/10.1093/bioinformatics/bts670openalex-snapshot
Drug–target interaction prediction by learning from local information and neighbors
inferredcites →https://doi.org/10.1093/nar/27.1.29openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/28.1.27openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/gki070openalex-snapshot
The Universal Protein Resource (UniProt)
inferredcites →https://doi.org/10.1093/nar/gkm862openalex-snapshot
SuperTarget and Matador: resources for exploring drug-target relationships
inferredcites →https://doi.org/10.1093/nar/gkm895openalex-snapshot
The Universal Protein Resource (UniProt)
inferredcites →https://doi.org/10.1093/nar/gkm958openalex-snapshot
DrugBank: a knowledgebase for drugs, drug actions and drug targets
inferredcites →https://doi.org/10.1093/nar/gkq367openalex-snapshot
SIMCOMP/SUBCOMP: chemical structure search servers for network analyses
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
inferredcites →https://doi.org/10.1109/72.788640openalex-snapshot
An overview of statistical learning theory
inferredcites →https://doi.org/10.1137/1.9780898717907openalex-snapshot
Matrix Analysis for Scientists and Engineers
inferredcites →https://doi.org/10.1177/009286150403800104openalex-snapshot
The Use of the World Health Organisation Anatomical Therapeutic Chemical/Defined Daily Dose Methodology in Canada
inferredcites →https://doi.org/10.1186/1752-0509-4-s2-s6openalex-snapshot
Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
inferredcites →https://doi.org/10.1371/journal.pcbi.1002503openalex-snapshot
Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
inferredcites →https://doi.org/10.1371/journal.pcbi.1003315openalex-snapshot
Prediction of Drug-Target Interactions for Drug Repositioning Only Based on Genomic Expression Similarity
inferredcites →https://doi.org/10.1371/journal.pone.0011764openalex-snapshot
Network-Based Relating Pharmacological and Genomic Spaces for Drug Target Identification
inferredcites →https://doi.org/10.1371/journal.pone.0066952openalex-snapshot
Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile
inferredcites →https://doi.org/10.1371/journal.pone.0105889openalex-snapshot
A Systematic Investigation of Computation Models for Predicting Adverse Drug Reactions (ADRs)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10489-021-02495-zopenalex-snapshot
Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery
inferred← citeshttps://doi.org/10.1007/s12539-021-00488-7openalex-snapshot
DeepStack-DTIs: Predicting Drug–Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier
inferred← citeshttps://doi.org/10.1016/j.chemolab.2017.01.016openalex-snapshot
A kernel matrix dimension reduction method for predicting drug-target interaction
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104676openalex-snapshot
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network
inferred← citeshttps://doi.org/10.1016/j.ygeno.2018.12.007openalex-snapshot
Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure
inferred← citeshttps://doi.org/10.1021/acs.jcim.9b00408openalex-snapshot
Improved Prediction of Drug–Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization
inferred← citeshttps://doi.org/10.1038/srep40376openalex-snapshot
Predicting drug-target interactions by dual-network integrated logistic matrix factorization
inferred← citeshttps://doi.org/10.1039/c7mb00290dopenalex-snapshot
LPI-ETSLP: lncRNA–protein interaction prediction using eigenvalue transformation-based semi-supervised link prediction
inferred← citeshttps://doi.org/10.1039/c7ra08894aopenalex-snapshot
A novel information fusion strategy based on a regularized framework for identifying disease-related microRNAs
inferred← citeshttps://doi.org/10.1093/bib/bby069openalex-snapshot
Review and comparative assessment of similarity-based methods for prediction of drug–protein interactions in the druggable human proteome
inferred← citeshttps://doi.org/10.1093/bib/bbz157openalex-snapshot
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper
inferred← citeshttps://doi.org/10.1109/access.2020.2972283openalex-snapshot
Prioritizing Human Microbe-Disease Associations Utilizing a Node-Information-Based Link Propagation Method
inferred← citeshttps://doi.org/10.1186/s13321-018-0303-xopenalex-snapshot
A new chemoinformatics approach with improved strategies for effective predictions of potential drugs
inferred← citeshttps://doi.org/10.1208/s12248-017-0092-6openalex-snapshot
Large-Scale Prediction of Drug-Target Interaction: a Data-Centric Review
inferred← citeshttps://doi.org/10.2174/0929866526666190410124110openalex-snapshot
The Computational Models of Drug-target Interaction Prediction
inferred← citeshttps://doi.org/10.2174/0929867326666190808154841openalex-snapshot
Survey of Similarity-Based Prediction of Drug-Protein Interactions
inferred← citeshttps://doi.org/10.3233/thc-248005openalex-snapshot
Predicting drug-target interactions using matrix factorization with self-paced learning and dual similarity information
inferred← citeshttps://doi.org/10.3390/molecules22071119openalex-snapshot
Prediction of Drug–Target Interaction Networks from the Integration of Protein Sequences and Drug Chemical Structures
inferred← citeshttps://doi.org/10.3390/molecules24162999openalex-snapshot
Drug-Target Interaction Prediction Based on Drug Fingerprint Information and Protein Sequence
inferred← citeshttps://doi.org/10.3934/mbe.2023419openalex-snapshot
DTiGNN: Learning drug-target embedding from a heterogeneous biological network based on a two-level attention-based graph neural network
inferred← citeshttps://doi.org/10.4018/979-8-3373-6400-1.ch010openalex-snapshot
Machine Learning in Drug Repurposing
inferred← citeshttps://doi.org/10.47749/t/unicamp.2016.971635openalex-snapshot
Quociente de Rayleigh e algoritmos genéticos
inferred← citeshttps://doi.org/10.48550/arxiv.2012.12325openalex-snapshot
Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery
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