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Omics · dataset · 2026

Single cell RNAseq data of PBMCs from three patients with primary partial hypopituitarism and three healthy controls, files after removing double cells and background RNA

Listed in Teesside University Research Data Repository

The raw matrix file for single-cell sequencing is first removed from background RNA contamination using the soupx software package, and then analyzed for double cells using doublefinder software to remove them.

Description

The result files of these two analysis steps are saved in RDS format. CON_1.rds, CON_2.rds, CON_3.rds, PATIENT_1.rds, PATIENT_2.rds, PATIENT_3.rds.

The file is saved after removing background RNA contamination; CON_1_singlet.rds, CON_2_singlet.rds, CON_3_singlet.rds, PATIENT_1_singlet.rds, PATIENT_2_singlet.rds, PATIENT_3_singlet.rds. It is the file after removing the double cells.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/wtks29gsw8.217 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:rna-seqenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:sequencingenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqmapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Single-Cell RNA Sequencing']
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