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Feature-space selection with banded ridge regression

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.05.490831Source: DataRank Database

Feature-space selection with banded ridge regression is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 18 times.

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0DataRank · unranked

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Open Access18 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: goldTopics (21)IDs (PubMed)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Michael Eickenberg,Anwar O. Núñez-Elizalde ORCID,Jack L. Gallant ORCID,Tom Dupré la Tour ORCID

Live enrichment

PubMed:36334814

National Institutes of Health

Grant: 5R01EY031455-05

Representation of navigational and driving-related information across human brain

National Science Foundation

Grant: 1912373

CRCNS US-German Research Proposal: Language representations in bilinguals

goldLicense: CC BY

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.05.05.490831

Unpaywallhttps://www.biorxiv.org/content/biorxiv/early/2022/09/16/2022.05.05.490831.full.pdf

https://doi.org/10.1101/2022.05.05.490831

https://doi.org/10.1016/j.neuroimage.2022.119728

https://pubmed.ncbi.nlm.nih.gov/36334814

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Neurology & NeurosurgeryBiomedical and clinical sciencesPsychology and Cognitive SciencesVariance decomposition150Health sciencesNeuroimagingNeurosciences. Biological psychiatry. NeuropsychiatryRegularized regressionMedical and Health SciencesArticleEncoding modelsLinear ModelsHumansRegression AnalysisHyperparameter optimizationGroup sparsityRC321-571