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Cryo-EM Heterogeneity Analysis using Regularized Covariance Estimation and Kernel Regression

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.28.564422Source: DataRank Database

Cryo-EM Heterogeneity Analysis using Regularized Covariance Estimation and Kernel 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 19 times.

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Open Access19 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (22)IDs (PubMed, OpenAlex)

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Authors (2)

Amit Singer ORCID,Marc Aurèle Gilles ORCID

Live enrichment

PubMed:37961393 OpenAlex:https://openalex.org/W4388115591

National Science Foundation

Grant: 1925919

Institute for Pure and Applied Mathematics

National Institutes of Health

Grant: 5R01GM136780-04

Reconstruction of heterogeneous and small macromolecules by cyro-EM

National Science Foundation

Grant: 2009753

NSF-BSF: Modern Techniques for Signal Reconstruction from Moments

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/11/01/2023.10.28.564422.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.28.564422

repositoryhttps://doi.org/10.1101/2023.10.28.564422

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37961393

Fields of Study

Advanced Electron Microscopy Techniques and ApplicationsElectron and X-Ray Spectroscopy TechniquesMagnetic Properties and Applications0206 medical engineering02 engineering and technology

Keywords

Bayesian probabilityCovarianceEstimationComputer scienceEconometricsArtificial intelligenceMathematicsStatisticsPattern recognition (psychology)EconomicsPrincipal Component AnalysisProtein ConformationPhysical SciencesCryoelectron MicroscopyImage Processing, Computer-AssistedArticleAlgorithms