Support vector machines for prediction of protein subcellular location.
about
Learning from Heterogeneous Data Sources: An Application in Spatial ProteomicsDemonstration of two novel methods for predicting functional siRNA efficiency.Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence.'Unite and conquer': enhanced prediction of protein subcellular localization by integrating multiple specialized toolsIntegrative identification of Arabidopsis mitochondrial proteome and its function exploitation through protein interaction network.PLPD: reliable protein localization prediction from imbalanced and overlapped datasets.Predicting protein submitochondria locations by combining different descriptors into the general form of Chou's pseudo amino acid composition.MOWGLI: prediction of protein-MannOse interacting residues With ensemble classifiers usinG evoLutionary Information.Quantitative structure-property relationship studies on electrochemical degradation of substituted phenols using a support vector machine.Reduced bio-basis function neural networks for protease cleavage site prediction.Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location
P2860
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P2860
Support vector machines for prediction of protein subcellular location.
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年学术文章
@wuu
2000年学术文章
@zh
2000年学术文章
@zh-cn
2000年学术文章
@zh-hans
2000年学术文章
@zh-my
2000年学术文章
@zh-sg
2000年學術文章
@yue
2000年學術文章
@zh-hant
name
Support vector machines for prediction of protein subcellular location.
@en
Support vector machines for prediction of protein subcellular location.
@nl
type
label
Support vector machines for prediction of protein subcellular location.
@en
Support vector machines for prediction of protein subcellular location.
@nl
prefLabel
Support vector machines for prediction of protein subcellular location.
@en
Support vector machines for prediction of protein subcellular location.
@nl
P2093
P356
P1476
Support vector machines for prediction of protein subcellular location.
@en
P2093
P304
P356
10.1006/MCBR.2001.0285
P50
P577
2000-10-01T00:00:00Z