Back to search

Article

UnBlender: validating individual analyses in respiratory bulk RNA-seq cell type deconvolution

2026-06-04

Abstract excerpt

Analysis of RNA-seq data of respiratory samples has contributed much to our understanding of lung disease. However, bulk RNA-seq data are dependent on both cell type composition and the transcriptional activity of these samples’ constituent cells, which complicates interpretation. Cell type deconvolution is frequently used to estimate cell type proportions of bulk transcriptomic gene expression data and improve in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
532681fa-df1c-57bf-a795-78d010e4fa12
DOI
10.64898/2026.06.01.727709
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
UnBlender: validating individual analyses in respiratory bulk RNA-seq cell type deconvolutionDOI 10.64898/2026.06.01.727709
Select a neighboring publication to make it the new centre.