Ten Quick Tips for Deep Learning in Biology
This is the manuscript for a community-written article aimed at PLOS Computational Biology. Deep learning is exploding in popularity and is increasingly finding its way into biological data analysis. However, since most biologists receive little (or no) data science training, using deep learning properly can be a daunting task.
We're going to try to fix that. By boiling down the community's knowledge into ten quick tips, we hope to increase the number of biological researchers using DL (by making it more inviting) and the quality of the research (by helping them avoid common mistakes).
Where we are now
Currently, we're in the process of finalizing the draft of the paper. The journal has already approved our presubmission inquiry and we are almost ready to submit!
How you can help
Help of any kind is highly appreciated. Want to pitch in but not sure how?
- Help us write the tips into a manuscript.
- Know of anyone who might be interested? Send them an email!
- Have Twitter followers? Tweet about the project!
A note on the project's name
Originally, this paper was going to be titled "Ten simple rules for deep learning in biology." However, the journal asked that we change the name to "n quick tips for deep learning in biology" to be placed into the educational section as well as to give us more latitude with the number of tips we have. While we changed the name of the paper, for simplicity, we kept the name of the repo as
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