Human 5' UTR design and variant effect prediction from a massively parallel translation assay

“Human 5’ UTR design and variant effect prediction from a massively parallel translation assay” by Paul J. Sample, Ban Wang, David W. Reid, Vlad Presnyak, Iain McFadyen, David R. Morris, and Georg Seelig. https://doi.org/10.1101/310375 I selected this article for review for two reasons: I am excited to learn about applications of massively parallel reporter assays (MPRAs). I have a general interest in methods that use deep learning (in this case convolutional neural networks) with genomic data. »

DeepProfile: Deep learning of patient molecular profiles for precision medicine in acute myeloid leukemia

“DeepProfile: Deep learning of patient molecular profiles for precision medicine in acute myeloid leukemia” by Ayse Berceste Dincer, Safiye Celik, Naozumi Hiranuma, and Su-In Lee. https://doi.org/10.1101/278739 I selected this article for review for a few reasons: I was intrigued by the compilation of a large dataset from many small datasets before applying unsupervised learning, which we have had success with in other settings. I have an interest in methods that use variational autoencoders to learn low-dimensional representations. »