Efficient Generation of Transcriptomic Profiles by Random Composite Measurements
Abstract
RNA profiles are an informative phenotype of cellular and tissue states but can be costly to generate at massive scale. Here, we describe how gene expression levels can be efficiently acquired with random composite measurements-in which abundances are combined in a random weighted sum. We show (1) that the similarity between pairs of expression profiles can be approximated with very few composite measurements; (2) that by leveraging sparse,...
Paper Details
Title
Efficient Generation of Transcriptomic Profiles by Random Composite Measurements
Published Date
Nov 1, 2017
Journal
Volume
171
Issue
6
Pages
1424 - 1436.e18
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History