A comprehensive evaluation of multicategory classification methods for microbiomic data.
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Using "Omics" and Integrated Multi-Omics Approaches to Guide Probiotic Selection to Mitigate Chytridiomycosis and Other Emerging Infectious DiseasesA fuzzy based feature selection from independent component subspace for machine learning classification of microarray dataFrom Vineyard Soil to Wine Fermentation: Microbiome Approximations to Explain the "terroir" Concept.Discovering new indicators of fecal pollutionA single genus in the gut microbiome reflects host preference and specificityMicrobiomic signatures of psoriasis: feasibility and methodology comparison.Alignment-free supervised classification of metagenomes by recursive SVM.A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses.Explaining diversity in metagenomic datasets by phylogenetic-based feature weighting.Only one health, and so many omicsPhylogenetic approaches to microbial community classification.Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights.A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships.Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.Studying microbial functionality within the gut ecosystem by systems biology.Opportunities and obstacles for deep learning in biology and medicine.MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples.Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model.Human Gut Microbiota Predicts Susceptibility to Vibrio cholerae InfectionFecal source identification using random forestGlobal Rademacher Complexity Bounds: From Slow to Fast Convergence RatesGut microbiota, short chain fatty acids, and obesity across the epidemiologic transition: the METS-Microbiome study protocolConducting metagenomic studies in microbiology and clinical research
P2860
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P2860
A comprehensive evaluation of multicategory classification methods for microbiomic data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի ապրիլին 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
A comprehensive evaluation of multicategory classification methods for microbiomic data.
@ast
A comprehensive evaluation of multicategory classification methods for microbiomic data.
@en
type
label
A comprehensive evaluation of multicategory classification methods for microbiomic data.
@ast
A comprehensive evaluation of multicategory classification methods for microbiomic data.
@en
prefLabel
A comprehensive evaluation of multicategory classification methods for microbiomic data.
@ast
A comprehensive evaluation of multicategory classification methods for microbiomic data.
@en
P2093
P2860
P50
P356
P1433
P1476
A comprehensive evaluation of multicategory classification methods for microbiomic data.
@en
P2093
Alexander Statnikov
Constantin F Aliferis
Kranti Konganti
Mikael Henaff
Varun Narendra
P2860
P2888
P356
10.1186/2049-2618-1-11
P577
2013-04-05T00:00:00Z
P5875
P6179
1041339275