Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree. - Wikidata - wikimedia - TriplyDB

Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree.

Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree.

http://www.wikidata.org/entity/Q37021449

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High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machine.

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Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree.

http://www.wikidata.org/entity/Q37021449

description

article científic

@ca

article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on January 2013

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Analysis of High-Dimensional S ...... g the Optimal Bit String Tree.

@en

Analysis of High-Dimensional S ...... g the Optimal Bit String Tree.

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type

label

Analysis of High-Dimensional S ...... g the Optimal Bit String Tree.

@en

Analysis of High-Dimensional S ...... g the Optimal Bit String Tree.

@nl

prefLabel

Analysis of High-Dimensional S ...... g the Optimal Bit String Tree.

@en

Analysis of High-Dimensional S ...... g the Optimal Bit String Tree.

@nl

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00401706.2012.760489

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Analysis of High-Dimensional S ...... g the Optimal Bit String Tree.

@en

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Jacqueline M Hughes-Oliver

http://www.w3.org/2001/XMLSchema#string

Ke Zhang

http://www.w3.org/2001/XMLSchema#string

S Stanley Young

http://www.w3.org/2001/XMLSchema#string

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Experimental screening of dihydrofolate reductase yields a "test set" of 50,000 small molecules for a computational data-mining and docking competition.

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Analysis of a 2(9) full factorial chemical library.

The structure of the covalent adduct formed by the interaction of 3-dimethylamino-1-propyne and the flavine of mitochondrial amine oxidase.

On combining recursive partitioning and simulated annealing to detect groups of biologically active compounds.

Binary formal inference-based recursive modeling using multiple atom and physicochemical property class pair and torsion descriptors as decision criteria

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scholarly article

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10.1080/00401706.2012.760489

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2

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2013-01-01T00:00:00Z

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251235791

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23878407

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