HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins
about
Benchmark data for identifying multi-functional types of membrane proteins.CELLO2GO: a web server for protein subCELlular LOcalization prediction with functional gene ontology annotation.Sparse regressions for predicting and interpreting subcellular localization of multi-label proteinsPredicting Subcellular Localization of Apoptosis Proteins Combining GO Features of Homologous Proteins and Distance Weighted KNN Classifier.MSLVP: prediction of multiple subcellular localization of viral proteins using a support vector machine.Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machineComplete plastid genome sequence of Primula sinensis (Primulaceae): structure comparison, sequence variation and evidence for accD transfer to nucleus.
P2860
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P2860
HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
@wuu
name
HybridGO-Loc: mining hybrid fe ...... ion of multi-location proteins
@ast
HybridGO-Loc: mining hybrid fe ...... ion of multi-location proteins
@en
type
label
HybridGO-Loc: mining hybrid fe ...... ion of multi-location proteins
@ast
HybridGO-Loc: mining hybrid fe ...... ion of multi-location proteins
@en
prefLabel
HybridGO-Loc: mining hybrid fe ...... ion of multi-location proteins
@ast
HybridGO-Loc: mining hybrid fe ...... ion of multi-location proteins
@en
P2860
P1433
P1476
HybridGO-Loc: mining hybrid fe ...... ion of multi-location proteins
@en
P2093
Man-Wai Mak
Sun-Yuan Kung
P2860
P304
P356
10.1371/JOURNAL.PONE.0089545
P407
P50
P577
2014-03-19T00:00:00Z