An ensemble method for predicting subnuclear localizations from primary protein structures.
about
A Novel Feature Extraction Method with Feature Selection to Identify Golgi-Resident Protein Types from Imbalanced DataProtein sub-nuclear localization prediction using SVM and Pfam domain information.Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy.An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors.An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence CharacteristicsConstruction of the High-Density Genetic Linkage Map and Chromosome Map of Large Yellow Croaker (Larimichthys crocea).Protein Sub-Nuclear Localization Based on Effective Fusion Representations and Dimension Reduction Algorithm LDA.A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes.Analysis and prediction of drug-drug interaction by minimum redundancy maximum relevance and incremental feature selection.Characterization of the nuclear matrix targeting sequence (NMTS) of the BPV1 E8/E2 protein--the shortest known NMTS.Prediction of drugs target groups based on ChEBI ontology.Analysis and Identification of Aptamer-Compound Interactions with a Maximum Relevance Minimum Redundancy and Nearest Neighbor Algorithm.Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models.Targeting functional motifs of a protein family.A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique.Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm.A Model Stacking Framework for Identifying DNA Binding Proteins by Orchestrating Multi-View Features and Classifiers
P2860
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P2860
An ensemble method for predicting subnuclear localizations from primary protein structures.
description
2013 nî lūn-bûn
@nan
2013 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
An ensemble method for predict ...... om primary protein structures.
@ast
An ensemble method for predict ...... om primary protein structures.
@en
An ensemble method for predict ...... om primary protein structures.
@nl
type
label
An ensemble method for predict ...... om primary protein structures.
@ast
An ensemble method for predict ...... om primary protein structures.
@en
An ensemble method for predict ...... om primary protein structures.
@nl
prefLabel
An ensemble method for predict ...... om primary protein structures.
@ast
An ensemble method for predict ...... om primary protein structures.
@en
An ensemble method for predict ...... om primary protein structures.
@nl
P2093
P2860
P1433
P1476
An ensemble method for predict ...... rom primary protein structures
@en
P2093
Anaththa P D Krishnajith
Guo Sheng Han
P2860
P304
P356
10.1371/JOURNAL.PONE.0057225
P407
P50
P577
2013-02-27T00:00:00Z