Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

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http://www.wikidata.org/entity/Q35232372
Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screeningDifferent combinations of atomic interactions predict protein-small molecule and protein-DNA/RNA affinities with similar accuracyLow-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest.Correcting the impact of docking pose generation error on binding affinity prediction.Predicting Functional Decline and Recovery for Residents in Veterans Affairs Nursing Homes.TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.Performance of machine-learning scoring functions in structure-based virtual screening.Improving scoring-docking-screening powers of protein-ligand scoring functions using random forest.A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.Predicting local malaria exposure using a Lasso-based two-level cross validation algorithm.The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction.Empirical Scoring Functions for Structure-Based Virtual Screening: Applications, Critical Aspects, and Challenges
P2860

Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

Item
http://www.wikidata.org/entity/Q35232372
description
2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին 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
Substituting random forest for ...... tions: Cyscore as a case study
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Substituting random forest for ...... tions: Cyscore as a case study
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type
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Substituting random forest for ...... tions: Cyscore as a case study
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Substituting random forest for ...... tions: Cyscore as a case study
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Substituting random forest for ...... tions: Cyscore as a case study
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Substituting random forest for ...... tions: Cyscore as a case study
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Substituting random forest for ...... tions: Cyscore as a case study
@en
P2093
P2860
P2888
P304
P31
P356
P478
P50
P577
P5875
P6179
P698
P921
P932