ProLoc: prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features.
about
Computational identification of ubiquitylation sites from protein sequencesA survey of computational intelligence techniques in protein function predictionProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localizationPNAC: a protein nucleolar association classifier.POPISK: T-cell reactivity prediction using support vector machines and string kernels.Exploiting heterogeneous features to improve in silico prediction of peptide status - amyloidogenic or non-amyloidogenic.Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.Prediction and analysis of antibody amyloidogenesis from sequences.An ensemble method for predicting subnuclear localizations from primary protein structures.Protein sub-nuclear localization prediction using SVM and Pfam domain information.Prediction of linear B-cell epitopes of hepatitis C virus for vaccine developmentGenetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM).Recent progress in predicting protein sub-subcellular locations.Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machineA survey on evolutionary algorithm based hybrid intelligence in bioinformatics.Fuzzy clustering of physicochemical and biochemical properties of amino acids.Using over-represented tetrapeptides to predict protein submitochondria locations.Rule-based knowledge acquisition method for promoter prediction in human and Drosophila species.
P2860
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P2860
ProLoc: prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
ProLoc: prediction of protein ...... chemical composition features.
@en
ProLoc: prediction of protein ...... chemical composition features.
@nl
type
label
ProLoc: prediction of protein ...... chemical composition features.
@en
ProLoc: prediction of protein ...... chemical composition features.
@nl
prefLabel
ProLoc: prediction of protein ...... chemical composition features.
@en
ProLoc: prediction of protein ...... chemical composition features.
@nl
P2093
P1433
P1476
ProLoc: prediction of protein ...... chemical composition features.
@en
P2093
Hui-Ling Huang
Shinn-Ying Ho
Shiow-Fen Hwang
Wen-Lin Huang
P304
P356
10.1016/J.BIOSYSTEMS.2007.01.001
P577
2007-01-04T00:00:00Z