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Here is the flowchart of the algorithm. It is intuitively clear that algorithms that incorporate more features at the read-level should perform better (as some recent algorithms do); the hard part was coming up with enough true positives to train the classifier.pic.twitter.com/cCbl8lWV11
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1/2 Just out: "Timely Development of a Mutation-Specific Drug", with an accompanying editorial, on the front page of NEJM. Congrats to the lead author Jinkuk Kim (a postdoc in the lab), who worked with our collaborator
@timyu on this amazing story.pic.twitter.com/EDm1ZbUycr
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It's wonderful to welcome 12 accomplished students to our Bioinformatics & Integrative PhD program this fall!pic.twitter.com/Mk6mqoKuga
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A lab outing to the Boston Harbor Islands last week!pic.twitter.com/XmwiDMIQFo
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I was on the "Work-life balance" discussion panel at a recent NHGRI Training/Career Development meeting. One of my slidespic.twitter.com/I2khwEJC6w
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