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Mining transcriptomics and clinical data reveals ACE2 expression modulators and identifies cardiomyopathy as a risk factor for mortality in COVID-19 patients

medRxiv(2020)10.1101/2020.10.20.20216150Source: DataRank Database

Mining transcriptomics and clinical data reveals ACE2 expression modulators and identifies cardiomyopathy as a risk factor for mortality in COVID-19 patients is a research paper published in medRxiv (2020). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:OA: greenTopics (21)IDs (PubMed, OpenAlex)Annotations (2)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Boris Oskotsky ORCID,Atul Janardhan Butte ORCID,Zicheng Hu ORCID,Navchetan Kaur ORCID

Live enrichment

PubMed:19965766 OpenAlex:https://openalex.org/W3093512661

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2020/10/23/2020.10.20.20216150.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.10.20.20216150

repositoryhttps://doi.org/10.1101/2020.10.20.20216150

Europe_PMChttps://europepmc.org/article/PPR/PPR229266

Fields of Study

SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research StudiesExtracellular vesicles in disease

Keywords

CardiomyopathyTranscriptomeAngiotensin-converting enzyme 2Coronavirus disease 2019 (COVID-19)Gene expressionComputational biologyDiseaseGene expression profilingRNA-SeqPandemicBiologyBioinformaticsGeneMedicineGeneticsInternal medicineHeart failureInfectious disease (medical specialty)

Sustainable Development Goals

SDG 0: Good health and well-being