Read on Twitter
I'm working on a #DataScience project that leverages data from @CancerDepMap.
The goal is to:
- discover new functions for known genes
- find functions for unknown genes
- identify new therapeutic targets
Ready, go. https://twitter.com/JamesClear/status/1263511239793217536
The goal is to:
- discover new functions for known genes
- find functions for unknown genes
- identify new therapeutic targets
Ready, go. https://twitter.com/JamesClear/status/1263511239793217536
If you didn't know anything about MTOR, you'd basically map the entire pathway that @DMSabatini and co. worked out
Same for TSC1/TSC2 that @Manning_BD and co are drilling down on
*Notice the inverse pattern between these two
(cc @tsalliance)
*Notice the inverse pattern between these two
(cc @tsalliance)
Another 'master' regulatory LKB1 shows several known relationships, including @LabReuben's recent SIK targets
And what 'hairball' would be complete without P53?
(see pinned tweet
)
(see pinned tweet
)
