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Machine learning classification by fitting amplicon sequences to existing OTUs

mSphere(2023)10.1128/msphere.00336-23Source: DataRank Database

Machine learning classification by fitting amplicon sequences to existing OTUs is a research paper published in mSphere (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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Enrichment:Funding (2 grants)OA: goldTopics (23)IDs (PubMed, PMC)Annotations (1)

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Open Access

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Reusable (0/3)

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Authors (6)

Kelly L. Sovacool ORCID,William L. Close ORCID,Begüm D. Topçuoğlu ORCID,Jenna Wiens ORCID,Patrick D. Schloss ORCID

Live enrichment

PubMed:37615431 PMC:PMC10597446

HHS | NIH | National Cancer Institute

Grant: R01CA215574

National Institutes of Health

Grant: 5R01CA215574-04

Identification of Microbiome Based Markers to Improve Colorectal Cancer Detection

goldLicense: cc-by

publisherhttps://doi.org/10.1128/msphere.00336-23

publisherhttps://journals.asm.org/doi/pdf/10.1128/msphere.00336-23

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10597446/pdf/msphere.00336-23.pdf

repositoryhttps://doaj.org/article/6a01b25a81da4fdebc356f3c2495af80

Europe_PMChttps://europepmc.org/articles/PMC10597446

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansRNA, Ribosomal, 16SSequence Analysis, DNAAlgorithmsMetagenomicsMicrobiota

Keywords

BioinformaticsMicrobial ecologyDiagnosticsMachine LearningMicrobiomeMicrobiotaObservationSequence Analysis, DNAMicrobiologyQR1-502RNA, Ribosomal, 16SHumansMetagenomicsAlgorithms

Machine learning classification by fitting amplicon sequences to existing OTUs

FAIR Checklist

Authors (6)

Funding (2 grants)

Open Access

Topics

Annotations (Europe PMC)