Effective automated feature construction and selection for classification of biological sequences.
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Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive AnalyticsSingle nucleotide variations: biological impact and theoretical interpretation.Effective Feature Selection for Classification of Promoter Sequences.Computational approaches for predicting mutant protein stability.Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features.Deep Learning Improves Antimicrobial Peptide Recognition.
P2860
Effective automated feature construction and selection for classification of biological sequences.
description
2014 nî lūn-bûn
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2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2014年の論文
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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
Effective automated feature co ...... ation of biological sequences.
@ast
Effective automated feature co ...... ation of biological sequences.
@en
type
label
Effective automated feature co ...... ation of biological sequences.
@ast
Effective automated feature co ...... ation of biological sequences.
@en
prefLabel
Effective automated feature co ...... ation of biological sequences.
@ast
Effective automated feature co ...... ation of biological sequences.
@en
P2860
P1433
P1476
Effective automated feature co ...... ation of biological sequences.
@en
P2093
Uday Kamath
P2860
P304
P356
10.1371/JOURNAL.PONE.0099982
P407
P577
2014-07-17T00:00:00Z