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Sex-specific transcriptome similarity networks elucidate comorbidity relationships

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.22.634077Source: DataRank Database

Sex-specific transcriptome similarity networks elucidate comorbidity relationships is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Maria Flores-Rodero,Felipe Xavier Costa ORCID,José Carbonell‐Caballero ORCID,Iker Núñez‐Carpintero ORCID,Rafael Tabarés‐Seisdedos ORCID

Live enrichment

PubMed:39896586 OpenAlex:https://openalex.org/W4406795478

NLM NIH HHS

Grant: R01 LM011945

NLM NIH HHS

Grant: R01 LM012832

greenLicense: cc-by-nc-nd

repositoryhttps://doi.org/10.1101/2025.01.22.634077

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.01.22.634077

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39896586

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11785135

Fields of Study

Sex and Gender in HealthcareGenetic Associations and EpidemiologyBioinformatics and Genomic Networks

Keywords

ComorbidityDiseaseTranscriptomeBiological sexSex characteristicsSimilarity (geometry)EpidemiologyMedicineBioinformaticsBiologyPsychologyGeneticsInternal medicineComputer scienceDevelopmental psychologyGene expressionGene

Sustainable Development Goals

SDG 0: Good health and well-being