Libbrecht lab

This account is the news feed at Max Libbrecht's computational biology lab at Simon Fraser University, BC.

[Libbrecht lab @LabLibbrecht]

Lab graduation dinner for Abe -- good luck, Abe!

[Libbrecht lab @LabLibbrecht]

Lab social!

[Mehdi Foroozandeh @mforoozz]

🧬 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)👇

[Libbrecht lab @LabLibbrecht]

Libbrecht lab at Canadian Epigenetics Meeting 2023

[Libbrecht lab @LabLibbrecht]

New preprint: "Integrative chromatin state annotation of 234 human ENCODE4 cell types using Segway reveals disease drivers" @marjanfarahbod @mforoozz @HDaneshpajouh @bonscotthoughts @JMichaelCherry1 @maxlibbrecht https://t.co/gW73gWyc6G

[Max Libbrecht @maxlibbrecht]

It's official, I've been granted tenure and promoted to Associate Professor! A huge thank you to my students, colleagues, mentors and collaborators.

[Libbrecht lab @LabLibbrecht]

New preprint: "Robust chromatin state annotation", @mforoozz @marjanfarahbod @maxlibbrecht https://t.co/a1THrO84Pp

[Libbrecht lab @LabLibbrecht]

New paper in @OUPBioinfo: "Integrative chromatin domain annotation through graph embedding of Hi-C data", Neda Shokraneh, Mariam Arab, @maxlibbrecht.

[Max Libbrecht @maxlibbrecht]

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

[Max Libbrecht @maxlibbrecht]

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

[Libbrecht lab @LabLibbrecht]

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

[Libbrecht lab @LabLibbrecht]

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

[Libbrecht lab @LabLibbrecht]

Congratulations to Dr. Alice Yue for successfully defending her PhD thesis, "Computational methods for cytometry"!

[Libbrecht lab @LabLibbrecht]

Lab picnic!

[Libbrecht lab @LabLibbrecht]

Congratulations to Dr. Faezeh Bayat for successfully defending her PhD thesis, "Variance-stabilized signals for biological data"!

[Medical Image Analysis Lab @ SFU @Hamarneh_MIA]

#IEEE_TMI paper DEEMD: Drug Efficacy Estimation against #SARSCoV2 based on cell Morphology with Deep Multiple Instance Learning

PDF 📰 https://t.co/ac8xBIQslm
Code 💽 https://t.co/VzwnUcnVN7

#MedicalImageAnalysis #DeepLearning #COVID19
@SFU_CompSci @NabiRobert @LabLibbrecht

[PLOS Comp Biol @PLOSCompBiol]

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

[Libbrecht lab @LabLibbrecht]

Long-overdue lab research summary page! https://t.co/KPTUwuZ497

[Libbrecht lab @LabLibbrecht]

Lab social! (Sept 16 2021)

[Max Libbrecht @maxlibbrecht]

I'm honored to have been selected for the Michael Smith Scholar award -- thank you, @msfhr!
https://t.co/gEdxzhxPCM