deep-review
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greenelab
A collaboratively written review paper on deep learning, genomics, and precision medicine
We will want to update the COI table for v1 authors when we are ready for a new v2 release. We should at least update those who participate in authoring...
I'm not sure that we can get this into an elegant form in prose. Perhaps a table like COI is the way to go for now.
As this work is being updated, it would be convenient to show which sections have been updated. This ranges in complexity: * Label section headers in some way. * Adjust...
Hi. First: great idea :) I've noticed a bunch of people I follow on twitter bumping this up... I wasn't confident enough to contribute in the first iteration years ago,...
I'm creating this issue to capture authors who have contributed since the published version akin to how #561 was used to capture authors who contributed during revision. - [x] @jlevy44...
From @agitter in #986 > Tracking the contribution types in the metadata file makes sense to me. Should we save v2 author ordering and mouseover contributions for a follow up...
>Single-cell RNA sequencing (scRNA-seq) has revolutionized biological discovery, providing an unbiased picture of cellular heterogeneity in tissues. While scRNA-seq has been used extensively to provide insight into health and disease,...
>Machine learning algorithms for generating molecular structures offer a promising new approach to drug discovery. We cast molecular optimization as a translation problem, where the goal is to map an...
We resubmitted version [0.10](https://github.com/greenelab/deep-review/releases/tag/v0.10) to the _Journal of the Royal Society Interface_ and *bioRxiv*. Thanks everyone for all the great work on the revisions! I'd like input on where we...
This feels like it's becoming dated. We should consider between the options of: * Cut * Update * Expand