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Mapping multiregional image-localized biopsies to MRI habitats reveal biologically significant glioma tissue states and patterns of cellular subpopulations

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.23.485500Source: DataRank Database

Mapping multiregional image-localized biopsies to MRI habitats reveal biologically significant glioma tissue states and patterns of cellular subpopulations is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

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Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)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 (27)

Kamila M. Bond ORCID,Pamela Jackson ORCID,Andrea Hawkins‐Daarud ORCID,Gustavo De León ORCID,Christopher Sereduk

Live enrichment

PubMed:19965766 OpenAlex:https://openalex.org/W4221098227

National Institutes of Health

Grant: U01CA250481

National Institutes of Health

Grant: U54CA274504

Grant: Arizona Discovery Boost Award

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/03/26/2022.03.23.485500.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.03.23.485500

repositoryhttps://doi.org/10.1101/2022.03.23.485500

Fields of Study

Glioma Diagnosis and TreatmentSingle-cell and spatial transcriptomicsMathematical Biology Tumor Growth

Keywords

Immune systemGlioblastomaBiologyLeverage (statistics)Computational biologyTumor progressionMagnetic resonance imagingCellEvolutionary biologyBioinformaticsCancer researchNeuroscienceImmunologyGeneticsArtificial intelligenceMedicineComputer scienceGene

Sustainable Development Goals

SDG 0: Life in Land