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