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Omics · dataset · 2023

Transcriptional space-time mapping identifies concerted immune and stromal cell patterns and gene programs in wound healing and cancer (Human scRNA-Seq sample dataset))

Listed in Teesside University Research Data Repository

Feature, barcode and count matrix for the combined human scRNA-Seq dataset.

Description

Samples.csv file denotes patient ID for each cell where HNSC = Head and Neck Squamous Cell and LUNG = Lung Adenocarcinoma. N = Adjacent normal and T = Tumor

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Cancer 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/nnmb6m5p5j.117 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[disease].local:disease:cancerenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:rna-seqmapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['RNA Sequencing']
concepts[modality].local:modality:single-cell-rna-seqenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
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