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Leveraging Single-Cell Sequencing to Classify and Characterize Tumor Subgroups in Bulk RNA-Sequencing Data

GSE264680Shetty et al., 2024
View on GEO ↗

Overview

Modality
Bulk RNA-seq
Sample count
167
Patient count
Not reported (167 samples; not distinguished from patient count in series metadata)
Institution
Baylor College of Medicine
Corresponding author
Akdes Serin Harmanci, Akash Patel
Platform
Illumina HiSeq 4000 (GPL20301)
Access type
open
Publication status
Corrigendum published
Tissue preservation
Not reported
WHO edition
Not reported

Cohort detail

Grade breakdown
Not reported
Sex distribution
Not reported
Age distribution
Not reported
Anatomic location
Not reported
Brain invasion
Not reported
Normal/control tissue
None

Priority attributes

Large cohort (top quartile)Molecular subtype annotatedPeer-reviewed

Publications

  • Shetty A, et al. Leveraging single-cell sequencing to classify and characterize tumor subgroups in bulk RNA-sequencing data. Journal of Neuro-Oncology, 2024. PMID 38811523 · DOI
  • Shetty A, et al. Correction to: Leveraging single-cell sequencing to classify and characterize tumor subgroups in bulk RNA-sequencing data. Journal of Neuro-Oncology, 2024. PMID 38834749 · DOI

Related datasets

Also related: PRJNA1103795

Sources

  • GEO
    https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE264680
  • PubMed
    https://pubmed.ncbi.nlm.nih.gov/38811523/
  • PubMed
    https://pubmed.ncbi.nlm.nih.gov/38834749/
  • DOI
    https://doi.org/10.1101/2024.03.02.583114
  • ncbi.nlm.nih.gov
    https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1103795