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Series GSE136148 Query DataSets for GSE136148
Status Public on Aug 30, 2019
Title SCDC: Deconvolution of Bulk Gene Expression by Single-Cell RNA Sequencing Data
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary This paper describes SCDC, a deconvolution method for bulk RNA-seq that leverages cell-type specific gene expression profiles from multiple scRNA-seq reference datasets.
 
Overall design SCDC adopts an ENSEMBLE method to integrate deconvolution results from different scRNA-seq datasets produced in different conditions, implicitly addressing the batch-effect confounding.
 
Contributor(s) Perou CM, Thennavan A
Citation(s) 31925417, 34412669
Submission date Aug 21, 2019
Last update date Aug 31, 2021
Contact name Charles M. Perou
E-mail(s) cperou@med.unc.edu
Organization name University of North Carolina at Chapel Hill
Department Professor of Genetics, and Pathology & Laboratory Medicine; Lineberger Comprehensive Cancer Center
Street address 12-044 Lineberger Comprehensive Cancer Center CB# 7295
City Chapel Hill
State/province NC
ZIP/Postal code 27599-7264
Country USA
 
Platforms (4)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (8)
GSM4041646 3 Cell-line mixture
GSM4041647 FVB3
GSM4041648 FVB4
Relations
BioProject PRJNA561378
SRA SRP219023

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE136148_Bulk_Normalizedgenetable.xlsx 3.4 Mb (ftp)(http) XLSX
GSE136148_Bulk_rawgenetable.xlsx 3.1 Mb (ftp)(http) XLSX
GSE136148_RAW.tar 60.1 Mb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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