Efficient Generation of Transcriptomic Profiles by Random Composite Measurements

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) t...

Full description

Bibliographic Details
Main Authors: Cleary, Brian, Cong, Le, Cheung, Anthea, Lander, Eric Steven, Regev, Aviv
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Published: Elsevier 2018
Online Access:http://hdl.handle.net/1721.1/119820
https://orcid.org/0000-0001-8567-2049