About: q2-sample-classifier: machine-learning tools for microbiome classification and regression

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scientific article published on 23 October 2018

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) im Oktober 2018 veröffentlichter wissenschaftlicher Artikel (de) artículu científicu espublizáu n'ochobre de 2018 (ast) наукова стаття, опублікована в жовтні 2018 (uk) scientific article published on 23 October 2018 (en)
publication date	wds:Q90266622-F41A9CD8-ED47-4524-AF34-599731EC3C89
publication date	2018-10-23 00:00:00Z (xsd:dateTime)
cites work	wds:Q90266622-1943C0EB-A7E7-4857-84CB-9664A91DED56 wds:Q90266622-1BED69D3-65F2-4BCA-A20A-9345FA434950 wds:Q90266622-65B00F9A-238F-4143-AFC0-38005B8A62E4 wds:Q90266622-814FC8ED-6D2F-4F7F-9581-DA0F31D7D11D wds:Q90266622-C64C08F9-785B-4D11-88E8-674C44709893 wds:Q90266622-C858A3BB-3D59-48E1-990F-237F8F15B140 wds:Q90266622-CFF2CAF3-F10A-42B3-AC8F-C81112FC3539 wds:Q90266622-D8A672AE-5DAE-4811-BC6F-09431C18125A wds:Q90266622-DD1B2C89-528C-4327-BA92-ECAE1BEBE31E wds:Q90266622-E14E558B-A32F-4281-9CE2-9A2A121D6E6A
cites work	Persistent gut microbiota immaturity in malnourished Bangladeshi children Matplotlib: A 2D Graphics Environment Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate Random Forests Supervised classification of microbiota mitigates mislabeling errors Antibiotic-Induced Alterations of the Murine Gut Microbiota and Subsequent Effects on Colonization Resistance against Clostridium difficile Antibiotics, birth mode, and diet shape microbiome maturation during early life. Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights Associations among Wine Grape Microbiome, Metabolome, and Fermentation Behavior Suggest Microbial Contribution to Regional Wine Characteristics Metagenome-Wide Association Study and Machine Learning Prediction of Bulk Soil Microbiome and Crop Productivity.
author name string	wds:Q90266622-1AEE334F-E944-491C-83D1-B05AA11BF2C1 wds:Q90266622-1CA80A3C-18B9-45DB-A875-93C679AB8FF4
author name string	Nicholas A Bokulich Benjamin D Kaehler
rdfs:label	q2-sample-classifier: machine-learning tools for microbiome classification and regression (en) q2-sample-classifier: machine-learning tools for microbiome classification and regression (nl)
skos:prefLabel	q2-sample-classifier: machine-learning tools for microbiome classification and regression (en) q2-sample-classifier: machine-learning tools for microbiome classification and regression (nl)
name	q2-sample-classifier: machine-learning tools for microbiome classification and regression (en) q2-sample-classifier: machine-learning tools for microbiome classification and regression (nl)
author	wds:Q90266622-3C405D70-C684-4E76-993D-8CFF3B3DEC64 wds:Q90266622-42DC0C7E-E305-4FA6-9259-1832BC75E9A7 wds:Q90266622-6D1D0F3C-27BE-4346-80F8-375F43A64821 wds:Q90266622-F7D19151-F7B3-4C17-8656-E91E4BEBA278
author	Gavin A Huttley J Gregory Caporaso Evan Bolyen Matthew R Dillon
title	wds:Q90266622-B40DB12B-3DC2-4272-9DFD-5F59B244A23B
title	q2-sample-classifier: machine-learning tools for microbiome classification and regression (en)
instance of	wds:Q90266622-0973D50D-9264-4451-9D0E-70B9439EE3AE
instance of	scholarly article
main subject	wds:Q90266622-1985E848-EF9B-4C73-B868-D2D780C96240
main subject	machine learning
PubMed ID	wds:Q90266622-99A85E0F-042A-4D0D-933F-19DC857C1A01
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/31552137
PubMed ID	31552137
DBLP publication ID	wds:Q90266622-574333F2-8B82-482B-9CCC-DEC24D20CCE9
DBLP publication ID	https://dblp.org/rec/journals/jossw/BokulichDBKHC18
DBLP publication ID	journals/jossw/BokulichDBKHC18
published in	wds:Q90266622-E5B2BBEB-57D9-4563-8E61-9481A93EE9A7
published in	Journal of open research software
issue	wds:Q90266622-5F34DE03-E10C-445E-8982-FE55C92B80A4
volume	wds:Q90266622-53C06E51-4AAC-4992-98B9-9C2D88D77E90
issue	30
volume	3
DOI	wds:Q90266622-270021F2-7A4A-46AE-8BE8-95367B65BF90
DOI	http://dx.doi.org/10.21105/JOSS.00934
DOI	10.21105/JOSS.00934
ADS bibcode	wds:Q90266622-55F2850D-81F2-4335-8AB7-66F6DA0FDAC1
ADS bibcode	2018JOSS....3..934B
describes a project that uses	wds:Q90266622-C4DD6AF8-2E7A-4D37-9909-4F402298CAC5
describes a project that uses	scikit-learn
PMCID	wds:Q90266622-03E2B2B8-AA32-45DA-BAF5-3AE267B25913
PMCID	6759219
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q90266622
is cites work of	Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 Rapidly Processed Stool Swabs Approximate Stool Microbiota Profiles Man-made microbial resistances in built environments Seasonal epiphytic microbial dynamics on grapevine leaves under biocontrol and copper fungicide treatments QIIME 2 Enables Comprehensive End-to-End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data Gut microbiome, big data and machine learning to promote precision medicine for cancer A total crapshoot? Evaluating bioinformatic decisions in animal diet metabarcoding analyses
is cites work of	wds:Q64060537-C508CCA1-63B3-4B6C-9BE7-CD9EC0A71C0D wds:Q92782801-8DB1FB7D-8E37-4C5E-B6F6-8384EEA4783B wds:Q62651387-719EBC36-B69C-4626-83C1-938D9D175EE9 wds:Q93339281-692057D1-F070-40A4-8B9F-0AFAF5989063 wds:Q97541115-CE850807-6368-4A2A-81B6-B9C134FB317E wds:Q100416600-B428B59B-6236-46B5-AAEB-E5280D76BB82 wds:Q92154246-58A698F2-83AF-4518-9717-24A042D40D05

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