Posts Tagged ‘from’
June 18, 2017
Zhou, J. and Troyanskaya, O.G. (2015). Predicting effects of noncoding variants with deep learning–based sequence model. Nature Methods, 12, 931–934.
Predicting (& prioritizing) effects of noncoding variants w. [DeepSEA] #DeepLearning…model
https://www.Nature.com/nmeth/journal/v12/n10/full/nmeth.3547.html Trained w #ENCODE data
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Tags: deeplearning, encode, from, from_hm, funseq, HM, jclub, ncvarg
May 28, 2017
Seq. variants influencing…TF occupancy
http://www.Nature.com/ng/journal/v47/n12/full/ng.3432.html Uses allelic analysis to develop the CATO score, how variants alter binding
QT:{{”
This approach resulted in a simple scoring scheme, termed contextual analysis of transcription factor occupancy (CATO), that provides a recalibrated probability of affecting the binding of any transcription factor, as well as a quantitatively ranked list of transcription factor families whose binding might be altered.
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Tags: alleledb, alleleseq, from, from_jr, i0gpwrite, jr, quote