L1000FWD: fireworks visualization of drug-induced transcriptomic signatures | Zendy

Zichen Wang | Zendy; Alexander Lachmann | Zendy; Alexandra Keenan | Zendy; Avi Ma’ayan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

L1000FWD: fireworks visualization of drug-induced transcriptomic signatures

Author(s) -

Zichen Wang,

Alexander Lachmann,

Alexandra Keenan,

Avi Ma’ayan

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty060

Subject(s) - visualization , cluster analysis , profiling (computer programming) , computer science , computational biology , data mining , data visualization , dna microarray , bioinformatics , gene , biology , artificial intelligence , gene expression , genetics , operating system

As part of the NIH Library of Integrated Network-based Cellular Signatures program, hundreds of thousands of transcriptomic signatures were generated with the L1000 technology, profiling the response of human cell lines to over 20 000 small molecule compounds. This effort is a promising approach toward revealing the mechanisms-of-action (MOA) for marketed drugs and other less studied potential therapeutic compounds.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research