The influence of negative training set size on machine learning-based virtual screening.
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Cheminformatics analysis of the AR agonist and antagonist datasets in PubChemTarget prediction utilising negative bioactivity data covering large chemical spaceAverage Information Content Maximization--A New Approach for Fingerprint Hybridization and ReductionGlobal gene expression profiling of healthy human brain and its application in studying neurological disorders.Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands.An Algorithm to Identify Target-Selective Ligands - A Case Study of 5-HT7/5-HT1A Receptor Selectivity.From Homology Models to a Set of Predictive Binding Pockets-a 5-HT1A Receptor Case Study.Identification of human flap endonuclease 1 (FEN1) inhibitors using a machine learning based consensus virtual screening.An in silico platform for predicting, screening and designing of antihypertensive peptides.A novel approach for the prediction of species-specific biotransformation of xenobiotic/drug molecules by the human gut microbiota.The influence of the negative-positive ratio and screening database size on the performance of machine learning-based virtual screening.Influence of Varying Training Set Composition and Size on Support Vector Machine-Based Prediction of Active Compounds.Ensemble learning method for the prediction of new bioactive molecules.How to Achieve Better Results Using PASS-Based Virtual Screening: Case Study for Kinase Inhibitors.
P2860
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P2860
The influence of negative training set size on machine learning-based virtual screening.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
The influence of negative training set size on machine learning-based virtual screening.
@ast
The influence of negative training set size on machine learning-based virtual screening.
@en
type
label
The influence of negative training set size on machine learning-based virtual screening.
@ast
The influence of negative training set size on machine learning-based virtual screening.
@en
prefLabel
The influence of negative training set size on machine learning-based virtual screening.
@ast
The influence of negative training set size on machine learning-based virtual screening.
@en
P2860
P50
P356
P1476
The influence of negative training set size on machine learning-based virtual screening.
@en
P2860
P2888
P356
10.1186/1758-2946-6-32
P577
2014-06-11T00:00:00Z
P5875
P6179
1050522199