Discover and read the best of Twitter Threads about #JSM2019
Most recents (3)
Full room on a Thursday morning to learn about making an impact with #statistics in the era of #DataScience at #JSM2019
Data Science = w*Statistics + (1-w)*Computer Science
What a great definition!! #JSM2019
What a great definition!! #JSM2019
Sparsity and complexity are a defining aspect of big data. You need knowledge of the problem you’re solving, and that needs to be baked into our models. #JSM2019
"Statistics at a Crossroads: Challenges and Opportunities in the Data Science Era" talks 2:00pm Monday #JSM2019 in CC-207 hub.ki/groups/statscr… hear from Bin Yu, David Banks, Dylan Small, Marianthi Markatou, David Madigan, Xuming He, and Michael Jordan @InstMathStat @CMU_Stats 
@InstMathStat @CMU_Stats Irrespective of whether you can attend or not, grand challenge ideas and reflections on the draft report are solicited at docs.google.com/forms/d/e/1FAI…
first, let me say it's been a super fun project and a huge tour-de-force from our very talented @CrowellHL .. and lucky for us, we benefit from the ever-present wisdom of @CSoneson, some great insights from Pierre-Luc Germain along the way and great collaborators at Roche.
So .. people talk a lot about differential expression in scRNA-seq data, but from what I can tell, most of it is about how to find marker genes. That's indeed interesting, but not what we are on about here. Here, we're interested in *sample-level* comparisons of scRNA-seq ..
