
Cancer Data Science
@cancerdatasci
Fighting cancer with machine learning @ Broad Institute
ID: 823900997378605056
http://cancerdatascience.org 24-01-2017 14:31:19
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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. depmap.org/R2-D2 for data, code and paper The Cancer Dependency Map Broad Institute


Are the CRISPR screens published by Sanger today consistent with those done at Broad? We teamed up with Cancer Dependency Map Sanger to find out. The results are in: biorxiv.org/content/10.110… The Cancer Dependency Map bioRxiv #OpenScience




Congratulations to Steven Corsello on the Drug Repurposing paper published today Nature Cancer! An unexpectedly large number of non-oncology drugs selectively inhibit subsets of cancer cell lines: nature.com/articles/s4301…

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 biorxiv.org/content/10.110… The Cancer Dependency Map


Our first effort to define a Cancer Dependency Map is now live at cell.com/cell/fulltext/… and depmap.org/rnai Broad Institute

342 CRISPR KO screens in cancer cell lines and our method to correct for CRISPR/CN effect, now live nature.com/ng/journal/vao… Broad Institute

Now available from The Cancer Dependency Map: #CRISPRscreen data from 391 #cancer lines, incl 51 new lines (representing 14 tumor types): broad.io/achilles Accompanying #RNAseq + #WES profiles: broad.io/CCLEdata. More to come on a quarterly basis!



The largest dataset of cancer genetic dependencies: More than 970 RNAi screens in 713 cell lines from Broad Institute Achilles, Novartis DRIVE and Marcotte et al., 2016 processed together by the new DEMETER2 method. biorxiv.org/content/early/… The Cancer Dependency Map bioRxiv



A great example of how The Cancer Dependency Map genetic screens can be used to study protein complex function. doi.org/10.1016/j.cels… Congrats to Joshua Pan and robin!