🧬 Excited to share our paper "Robust chromatin state annotation," now in Genome Research, @mforoozz, @marjanfarahbod, @maxlibbrecht.
Paper: https://t.co/6dDseuIOrw
Blog Post: https://t.co/STmMsjfa3J
Follow this thread for details. (1/6)👇
Presenting on "Accurate and interpretable prediction of drug resistance in M. tuberculosis using deep learning" at the Mathematics and Statistics of Genomic Epidemiology workshop. Thanks to the organizers for the opportunity to present. @BIRS_Math
https://t.co/Bv2uamWRsN
Review on "Obtaining genetics insights from deep learning via explainable artificial intelligence" out now in @NatureRevGenet! Thanks to co-authors @NovakovskyG, Nick Dexter, @WyWyWa, @sara_mostafavi https://t.co/nrFAc4nAaS
New paper in @NatureComms: "Learning representations of chromatin contacts using a RNN identifies genomic drivers of conformation", @kevthesouza, Alexandra Maslova, @ediem_aljibury, Matthias Merkenschlager, Vijay K. Bhargava, @maxlibbrecht. https://t.co/PzRms0Wli2
New paper in @OUPBioinfo: "Continuous chromatin state feature annotation of the human epigenome", Habib Daneshpajouh, Bowen Chen, Neda Shokraneh, Shohre Masoumi, Kay C Wiese, @maxlibbrecht. https://t.co/wOPapupyOe
Maxwell Libbrecht has joined our Editorial Board, and will be handling papers in our Genomics section!
You can find out more about Max's research here:
https://t.co/kc5wImpLoS