Predicting siRNA potency with random forests and support vector machines
about
2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research.Incorporating evolutionary information and functional domains for identifying RNA splicing factors in humans.Prediction and analysis of antibody amyloidogenesis from sequences.Development of Therapeutic-Grade Small Interfering RNAs by Chemical Engineering.Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features.Predicting siRNA efficacy based on multiple selective siRNA representations and their combination at score level.Computational design of artificial RNA molecules for gene regulation.Phenotyping: Using Machine Learning for Improved Pairwise Genotype Classification Based on Root TraitsIncorporating amino acids composition and functional domains for identifying bacterial toxin proteinsRoot traits of European Vicia faba cultivars-Using machine learning to explore adaptations to agroclimatic conditions.Incorporating significant amino acid pairs and protein domains to predict RNA splicing-related proteins with functional roles.
P2860
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P2860
Predicting siRNA potency with random forests and support vector machines
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Predicting siRNA potency with random forests and support vector machines
@ast
Predicting siRNA potency with random forests and support vector machines
@en
type
label
Predicting siRNA potency with random forests and support vector machines
@ast
Predicting siRNA potency with random forests and support vector machines
@en
prefLabel
Predicting siRNA potency with random forests and support vector machines
@ast
Predicting siRNA potency with random forests and support vector machines
@en
P2093
P2860
P1433
P1476
Predicting siRNA potency with random forests and support vector machines
@en
P2093
Caiyan Huang
Jack Y Yang
Liangjiang Wang
P2860
P2888
P356
10.1186/1471-2164-11-S3-S2
P407
P478
11 Suppl 3
P577
2010-12-01T00:00:00Z
P6179
1053198030