Genome Biology Special Issue on Interpretable Deep Learning for Genomics

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Dec 17, 2021, 3:23:21 PM12/17/21
to MLCSB COSI, Koo, Peter, sar...@cs.washington.edu, Ben-Hur,Asa (EID)
Dear colleagues,

We would like to bring to your attention a Genome Biology special issue on interpretable deep learning for genomics with guest editors Peter Koo, Sara Mostafavi and Asa Ben-Hur.

Synopsis:
Deep learning models have demonstrated a powerful ability to accurately model various genomics data. However, their impact on biology depends on the ability to interpret the models and discover new findings. We would like to invite submissions that focus on this aspect of deep learning:  new methods for making interpretable predictions for genomics data or studies that demonstrate the ability of these architectures to make novel biological discoveries.

The call for papers is at https://genomebiology.biomedcentral.com/deep-learning-cfp.

The submission deadline is May 1st, 2022.

We look forward to your submissions.

Peter Koo
Sara Mostafavi
Asa Ben-Hur

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Asa Ben-Hur
Department of Computer Science
Colorado State University
http://www.cs.colostate.edu/~asa
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