Wavelet images and Chou's pseudo amino acid composition for protein classification.
about
iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid compositioniCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channelsClassification of DNA minor and major grooves binding proteins according to the NLSs by data analysis methods.iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approachiSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.iSulf-Cys: Prediction of S-sulfenylation Sites in Proteins with Physicochemical Properties of Amino Acids.Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors.Identification of Protein-Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information.Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection.PseAAC-General: fast building various modes of general form of Chou's pseudo-amino acid composition for large-scale protein datasets.Some remarks on predicting multi-label attributes in molecular biosystems.Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.Predicting the Functional Types of Singleplex and Multiplex Eukaryotic Membrane Proteins via Different Models of Chou's Pseudo Amino Acid Compositions.An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features.Improved detection of DNA-binding proteins via compression technology on PSSM information.A multilabel model based on Chou's pseudo-amino acid composition for identifying membrane proteins with both single and multiple functional types.Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique.iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins.An empirical study of different approaches for protein classificationA Model Stacking Framework for Identifying DNA Binding Proteins by Orchestrating Multi-View Features and Classifiers
P2860
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P2860
Wavelet images and Chou's pseudo amino acid composition for protein classification.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
Wavelet images and Chou's pseudo amino acid composition for protein classification.
@en
Wavelet images and Chou's pseudo amino acid composition for protein classification.
@nl
type
label
Wavelet images and Chou's pseudo amino acid composition for protein classification.
@en
Wavelet images and Chou's pseudo amino acid composition for protein classification.
@nl
prefLabel
Wavelet images and Chou's pseudo amino acid composition for protein classification.
@en
Wavelet images and Chou's pseudo amino acid composition for protein classification.
@nl
P2860
P1433
P1476
Wavelet images and Chou's pseudo amino acid composition for protein classification.
@en
P2093
Loris Nanni
Sheryl Brahnam
P2860
P2888
P304
P356
10.1007/S00726-011-1114-9
P577
2011-10-13T00:00:00Z