An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.
about
Cheminformatics analysis of the AR agonist and antagonist datasets in PubChemMining Chemical Activity Status from High-Throughput Screening AssaysPubChem applications in drug discovery: a bibliometric analysisImproved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique.Getting the most out of PubChem for virtual screeningDistance Metric Based Oversampling Method for Bioinformatics and Performance Evaluation.Handling class imbalance problem in miRNA dataset associated with cancer.Prediction of Compound Profiling Matrices Using Machine Learning.Data Mining for Bioinformatics: Design with Oversampling and Performance Evaluation
P2860
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P2860
An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
An efficient algorithm coupled ...... alanced PubChem BioAssay data.
@ast
An efficient algorithm coupled ...... alanced PubChem BioAssay data.
@en
type
label
An efficient algorithm coupled ...... alanced PubChem BioAssay data.
@ast
An efficient algorithm coupled ...... alanced PubChem BioAssay data.
@en
prefLabel
An efficient algorithm coupled ...... alanced PubChem BioAssay data.
@ast
An efficient algorithm coupled ...... alanced PubChem BioAssay data.
@en
P2860
P1476
An efficient algorithm coupled ...... alanced PubChem BioAssay data.
@en
P2093
Stephen H Bryant
Yanli Wang
P2860
P304
P356
10.1016/J.ACA.2013.10.050
P50
P577
2013-11-06T00:00:00Z