Twitter | Search | |
Cancer Data Science
Fighting cancer with machine learning @ Broad Institute
18
Tweets
26
Following
327
Followers
Tweets
Cancer Data Science Feb 25
While the focus in the clinical setting has been on finding DNA-based cancer biomarkers, in a study led by Josh Dempster we show that, at least in vitro, gene expression is generally a more powerful biomarker for cancer vulnerabilities  
Reply Retweet Like
Cancer Data Science retweeted
DepMap Jan 21
Congratulations to on the Drug Repurposing paper published today ! An unexpectedly large number of non-oncology drugs selectively inhibit subsets of cancer cell lines:
Reply Retweet Like
Cancer Data Science Dec 9
We've just released the MIX-seq manuscript, data and code. Congrats James, Brent, Allie, Katie and the rest of the team for this cool work!
Reply Retweet Like
Cancer Data Science retweeted
DepMap Aug 9
REPURPOSING HUB DATA AND PREPRINT NOW OUT!! See how >4500 existing compounds performed when used across >550 cancer cell lines 💊 , data can be found on the portal:
Reply Retweet Like
Cancer Data Science retweeted
DepMap Aug 7
19Q3 Cancer Dependency data now live! knockout screening data for 64 (😲!) new cell lines, plus accompanying gene expression, copy number and mutation profiles:
Reply Retweet Like
Cancer Data Science Apr 10
Are the CRISPR screens published by Sanger today consistent with those done at Broad? We teamed up with to find out. The results are in:
Reply Retweet Like
Cancer Data Science retweeted
DepMap Apr 10
We’re excited to announce the release of a paper describing a new synthetic lethal target in MSI tumors as part of our GI Dependency Map!
Reply Retweet Like
Cancer Data Science 2 Nov 18
The largest dataset of cancer genetic dependencies to date includes RNAi data for 712 cell lines from Achilles, DRIVE and Marcotte et al., created using our new method DEMETER2, now out in Nat Comms. for data, code and paper
Reply Retweet Like
Cancer Data Science 19 May 18
A great example of how genetic screens can be used to study protein complex function. Congrats to and !
Reply Retweet Like
Cancer Data Science retweeted
DepMap 10 May 18
18Q2 data release is here!
Reply Retweet Like
Cancer Data Science 24 Apr 18
The largest dataset of cancer genetic dependencies: More than 970 RNAi screens in 713 cell lines from Achilles, Novartis DRIVE and Marcotte et al., 2016 processed together by the new DEMETER2 method.
Reply Retweet Like
Cancer Data Science retweeted
DepMap 13 Apr 18
We have a new portal! Integrated genome-scale LoF, sm mol sensitivity & knockdown screen data on 500+ cell lines together w/ user-friendly analysis & tools
Reply Retweet Like
Cancer Data Science 9 Feb 18
Now available from : data from 391 lines, incl 51 new lines (representing 14 tumor types): Accompanying + profiles: . More to come on a quarterly basis!
Reply Retweet Like
Cancer Data Science 30 Oct 17
342 CRISPR KO screens in cancer cell lines and our method to correct for CRISPR/CN effect, now live
Reply Retweet Like
Cancer Data Science retweeted
Katerina Popova 5 Oct 17
Check it out! CRISPR-Cas9 editing in human HSCs modeling myeloid neoplasia
Reply Retweet Like
Cancer Data Science 27 Jul 17
Our first effort to define a Cancer Dependency Map is now live at and
Reply Retweet Like
Cancer Data Science 10 Jul 17
Replying to @pedrobeltrao
We're working to release all data and code soon!
Reply Retweet Like
Cancer Data Science 10 Jul 17
CERES corrects the copy-number effect of CRISPR-Cas9 essentiality screens in 342 cancer cell lines
Reply Retweet Like