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Enhanced Feature Selection for Microbiome Data using FLORAL: Scalable Log-ratio Lasso Regression

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.02.538599Source: DataRank Database

Enhanced Feature Selection for Microbiome Data using FLORAL: Scalable Log-ratio Lasso Regression is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)OA: greenTopics (19)IDs (PubMed, OpenAlex)

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Open Access

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Reusable (0/3)

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Authors (14)

Tyler Funnell ORCID,Nicholas R. Waters ORCID,Sandeep Raj ORCID,Keimya Sadeghi ORCID,Anqi Dai ORCID

Live enrichment

PubMed:37205350 OpenAlex:https://openalex.org/W4367841382

NCI NIH HHS

Grant: P01 CA023766

NCI NIH HHS

Grant: R01 CA228308

NHLBI NIH HHS

Grant: R01 HL147584

NCI NIH HHS

Grant: R01 CA228358

NHLBI NIH HHS

Grant: K08 HL143189

NHLBI NIH HHS

Grant: R01 HL123340

NCI NIH HHS

Grant: P30 CA008748

NIA NIH HHS

Grant: P01 AG052359

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/03/2023.05.02.538599.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.02.538599

repositoryhttps://doi.org/10.1101/2023.05.02.538599

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37205350

Fields of Study

Gut microbiota and healthMetabolomics and Mass Spectrometry StudiesProbiotics and Fermented Foods

Keywords

Lasso (programming language)Feature selectionMicrobiomeRegressionFeature (linguistics)Selection (genetic algorithm)ScalabilityComputer scienceArtificial intelligenceData miningStatisticsPattern recognition (psychology)BiologyMathematicsBioinformaticsWorld Wide Web