Predicting gene function using hierarchical multi-label decision tree ensembles
about
A large-scale evaluation of computational protein function predictionThe emerging era of genomic data integration for analyzing splice isoform functionA two-step target binding and selectivity support vector machines approach for virtual screening of dopamine receptor subtype-selective ligandsPhylogenetic profiling: how much input data is enough?PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sourcesEnzML: multi-label prediction of enzyme classes using InterPro signatures.AlexSys: a knowledge-based expert system for multiple sequence alignment construction and analysis.Phyletic profiling with cliques of orthologs is enhanced by signatures of paralogy relationships.Semi-supervised multi-label collective classification ensemble for functional genomicsUsing PPI network autocorrelation in hierarchical multi-label classification trees for gene function predictionPredicting gene function using similarity learning.The role of indirect connections in gene networks in predicting functionUsing multi-instance hierarchical clustering learning system to predict yeast gene functionPredicting protein functions using incomplete hierarchical labels.Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approachGlobal Shifts in Genome and Proteome Composition Are Very Tightly Coupled.A Factor Graph Approach to Automated GO AnnotationReduction strategies for hierarchical multi-label classification in protein function predictionDiscovering Numerical Differences between Animal and Plant microRNAs.Virtual interactomics of proteins from biochemical standpoint.Hierarchical ensemble methods for protein function prediction.Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.Metabolic Pathway Assignment of Plant Genes based on Phylogenetic Profiling-A Feasibility Study.The evolutionary signal in metagenome phyletic profiles predicts many gene functionsAn Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance MeasuresHierarchical Multilabel Protein Function Prediction Using Local Neural Networks
P2860
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P2860
Predicting gene function using hierarchical multi-label decision tree ensembles
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
name
Predicting gene function using hierarchical multi-label decision tree ensembles
@ast
Predicting gene function using hierarchical multi-label decision tree ensembles
@en
Predicting gene function using hierarchical multi-label decision tree ensembles.
@nl
type
label
Predicting gene function using hierarchical multi-label decision tree ensembles
@ast
Predicting gene function using hierarchical multi-label decision tree ensembles
@en
Predicting gene function using hierarchical multi-label decision tree ensembles.
@nl
prefLabel
Predicting gene function using hierarchical multi-label decision tree ensembles
@ast
Predicting gene function using hierarchical multi-label decision tree ensembles
@en
Predicting gene function using hierarchical multi-label decision tree ensembles.
@nl
P2093
P2860
P356
P1433
P1476
Predicting gene function using hierarchical multi-label decision tree ensembles
@en
P2093
Celine Vens
Dragi Kocev
Jan Struyf
Leander Schietgat
P2860
P2888
P356
10.1186/1471-2105-11-2
P577
2010-01-02T00:00:00Z
P5875
P6179
1038402909