Predicting subcellular location of apoptosis proteins with pseudo amino acid composition: approach from amino acid substitution matrix and auto covariance transformation.
about
APSLAP: an adaptive boosting technique for predicting subcellular localization of apoptosis proteinAn ensemble classifier for eukaryotic protein subcellular location prediction using gene ontology categories and amino acid hydrophobicityPredicting Subcellular Localization of Apoptosis Proteins Combining GO Features of Homologous Proteins and Distance Weighted KNN Classifier.Identification of Protein-Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information.Drug-target interaction prediction via chemogenomic space: learning-based methods.Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.MultiP-Apo: A Multilabel Predictor for Identifying Subcellular Locations of Apoptosis Proteins.Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence.Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou's PseAAC.An empirical study on the matrix-based protein representations and their combination with sequence-based approaches.Accurate prediction of subcellular location of apoptosis proteins combining Chou's PseAAC and PsePSSM based on wavelet denoising.iAPSL-IF: Identification of Apoptosis Protein Subcellular Location Using Integrative Features Captured from Amino Acid Sequences.Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction.An empirical study of different approaches for protein classification
P2860
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P2860
Predicting subcellular location of apoptosis proteins with pseudo amino acid composition: approach from amino acid substitution matrix and auto covariance transformation.
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
Predicting subcellular locatio ...... uto covariance transformation.
@en
Predicting subcellular locatio ...... uto covariance transformation.
@nl
type
label
Predicting subcellular locatio ...... uto covariance transformation.
@en
Predicting subcellular locatio ...... uto covariance transformation.
@nl
prefLabel
Predicting subcellular locatio ...... uto covariance transformation.
@en
Predicting subcellular locatio ...... uto covariance transformation.
@nl
P2093
P2860
P1433
P1476
Predicting subcellular locatio ...... uto covariance transformation.
@en
P2093
Taigang Liu
Xiaoqi Zheng
Xiaoqing Yu
Yongchao Dou
P2860
P2888
P304
P356
10.1007/S00726-011-0848-8
P577
2011-02-23T00:00:00Z