Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
about
A Novel Feature Extraction Method with Feature Selection to Identify Golgi-Resident Protein Types from Imbalanced DataPrediction of protein phosphorylation sites by using the composition of k-spaced amino acid pairs.Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformationCharacterization and identification of ubiquitin conjugation sites with E3 ligase recognition specificities.Using support vector machine and evolutionary profiles to predict antifreeze protein sequences.Prediction of bioluminescent proteins using auto covariance transformation of evolutional profiles.UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines.An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors.PDNAsite: Identification of DNA-binding Site from Protein Sequence by Incorporating Spatial and Sequence Context.EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation.MOWGLI: prediction of protein-MannOse interacting residues With ensemble classifiers usinG evoLutionary Information.A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis.Position-specific analysis and prediction of protein pupylation sites based on multiple features.Prediction of Zinc Binding Sites in Proteins using Sequence Derived Information.PGluS: prediction of protein S-glutathionylation sites with multiple features and analysis.A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique.ADPRtool: A novel predicting model for identification of ASP-ADP-Ribosylation sites of human proteins.CNNH_PSS: protein 8-class secondary structure prediction by convolutional neural network with highway.Detecting Succinylation sites from protein sequences using ensemble support vector machine.Identification of Protein Pupylation Sites Using Bi-Profile Bayes Feature Extraction and Ensemble LearningAn Accurate and Efficient Method to Predict Y-NO Bond Homolysis Bond Dissociation EnergiesThe Prediction of Calpain Cleavage Sites with the mRMR and IFS Approaches
P2860
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P2860
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
@ast
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
@en
type
label
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
@ast
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
@en
prefLabel
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
@ast
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
@en
P2093
P2860
P356
P1476
Prediction of lysine ubiquitylation with ensemble classifier and feature selection.
@en
P2093
Minghao Yin
Xiangtao Li
Xiaowei Zhao
Zhiqiang Ma
P2860
P304
P356
10.3390/IJMS12128347
P407
P577
2011-11-28T00:00:00Z