A comprehensive evaluation of multicategory classification methods for microbiomic data. - Wikidata - wikimedia - TriplyDB

A comprehensive evaluation of multicategory classification methods for microbiomic data.

A comprehensive evaluation of multicategory classification methods for microbiomic data.

http://www.wikidata.org/entity/Q30741016

about

Using "Omics" and Integrated Multi-Omics Approaches to Guide Probiotic Selection to Mitigate Chytridiomycosis and Other Emerging Infectious Diseases A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data From Vineyard Soil to Wine Fermentation: Microbiome Approximations to Explain the "terroir" Concept.Discovering new indicators of fecal pollution A single genus in the gut microbiome reflects host preference and specificity Microbiomic 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 omics Phylogenetic 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 Infection Fecal source identification using random forest Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates Gut microbiota, short chain fatty acids, and obesity across the epidemiologic transition: the METS-Microbiome study protocol Conducting metagenomic studies in microbiology and clinical research

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P2860

A comprehensive evaluation of multicategory classification methods for microbiomic data.

http://www.wikidata.org/entity/Q30741016

description

2013 nî lūn-bûn

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2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2013 թվականի ապրիլին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

A comprehensive evaluation of multicategory classification methods for microbiomic data.

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A comprehensive evaluation of multicategory classification methods for microbiomic data.

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type

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A comprehensive evaluation of multicategory classification methods for microbiomic data.

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A comprehensive evaluation of multicategory classification methods for microbiomic data.

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prefLabel

A comprehensive evaluation of multicategory classification methods for microbiomic data.

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A comprehensive evaluation of multicategory classification methods for microbiomic data.

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A comprehensive evaluation of multicategory classification methods for microbiomic data.

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Alexander Statnikov

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Constantin F Aliferis

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Kranti Konganti

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Mikael Henaff

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Varun Narendra

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Zhiguo Li

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P2860

Microbial Ecology of the Gastrointestinal Tract

QIIME allows analysis of high-throughput community sequencing data

Gene selection and classification of microarray data using random forest.

Search and clustering orders of magnitude faster than BLAST

Bacterial community variation in human body habitats across space and time

Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification.

GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data.

Support vector machine classification and validation of cancer tissue samples using microarray expression data.

Supervised classification of human microbiota.

Forensic identification using skin bacterial communities.

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10.1186/2049-2618-1-11

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Alexander V Alekseyenko

Martin J. Blaser

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2013-04-05T00:00:00Z

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257884791

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