101 citations · 186 across the 13 of their papers we have counts for
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q-bio.GN2018
Towards the Latent Transcriptome
Assya Trofimov, Francis Dutil, Claude Perreault +3
In this work we propose a method to compute continuous embeddings for kmers from raw RNA-seq data, without the need for alignment to a reference genome. The approach uses an RNN to…
q-bio.GN2018★ 28 cited
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil, Joseph Paul Cohen, Martin Weiss +2
We study the challenges of applying deep learning to gene expression data. We find experimentally that there exists non-linear signal in the data, however is it not discovered auto…