Benjamin-Lee / Benjamin-Lee/deep-rules
Setting the standards for machine learning in biology
- Dominant language
- HTML
- Stars
- 226
- Forks
- 44
- PR merge metrics
- No merged PRs in 30d
Description
This commentary covers some pitfalls of deep learning in biology and calls for better benchmarking
> Machine learning is a branch of artificial intelligence (AI) involving computer programs that are able to improve their own performance through experience (training). The diverse applications of new ‘deep learning’ approaches with neural networks are now expanding into the field of biology. But these applications to biological data require more scrutiny and caution to increase the standards of publishing and allow the AI revolution in biology to take off.
https://doi.org/10.1038/s41580-019-0176-5
ReadCube: https://rdcu.be/bR8No
Contributor guide
Research direction
No file, test, or entry point is identified in the issue. Start by reading the linked commentary and determine which manuscript content or benchmarking standards should change; the issue is done only when that scope and the resulting manuscript update are defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- bioinformatics, content
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100