A multilabel model based on Chou's pseudo-amino acid composition for identifying membrane proteins with both single and multiple functional types.
about
iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networkingiEzy-drug: a web server for identifying the interaction between enzymes and drugs in cellular networkingBenchmark data for identifying multi-functional types of membrane proteins.iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.iPTM-mLys: identifying multiple lysine PTM sites and their different types.iRSpot-TNCPseAAC: identify recombination spots with trinucleotide composition and pseudo amino acid componentsPseAAC-General: fast building various modes of general form of Chou's pseudo-amino acid composition for large-scale protein datasets.iNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking.A Prediction Model for Membrane Proteins Using Moments Based Features.iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.A Treatise to Computational Approaches Towards Prediction of Membrane Protein and Its Subtypes.Prediction of Signal Peptide Cleavage Sites with Subsite-Coupled and Template Matching Fusion Algorithm.Predicting the Functional Types of Singleplex and Multiplex Eukaryotic Membrane Proteins via Different Models of Chou's Pseudo Amino Acid Compositions.iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals.TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition.Classifying Multifunctional Enzymes by Incorporating Three Different Models into Chou's General Pseudo Amino Acid Composition.iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.A multi-label classifier for prediction membrane protein functional types in animal.Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection.A new multi-label classifier in identifying the functional types of human membrane proteins.
P2860
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P2860
A multilabel model based on Chou's pseudo-amino acid composition for identifying membrane proteins with both single and multiple functional types.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
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2013年学术文章
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2013年學術文章
@zh-hant
name
A multilabel model based on Ch ...... and multiple functional types.
@en
A multilabel model based on Ch ...... and multiple functional types.
@nl
type
label
A multilabel model based on Ch ...... and multiple functional types.
@en
A multilabel model based on Ch ...... and multiple functional types.
@nl
prefLabel
A multilabel model based on Ch ...... and multiple functional types.
@en
A multilabel model based on Ch ...... and multiple functional types.
@nl
P2860
P1476
A multilabel model based on Ch ...... and multiple functional types.
@en
P2093
Chao Huang
Jing-Qi Yuan
P2860
P2888
P304
P356
10.1007/S00232-013-9536-9
P577
2013-04-02T00:00:00Z
P6179
1004507276