Comments (3)
This one is a bit more chemistry than most of what we're considering. It also lacks comparisons to other computational approaches. I'm going to close this for now. If you're interested in seeing this in the review, please comment & re-open.
from deep-review.
This might fit in the drug repositioning section but it's a bit of a stretch.
from deep-review.
You could leave it out in the initial draft and see if it makes sense to add it in a second pass. We haven't felt the need to cover every interesting deep learning paper in an area and have been trying to focus only a subset that advance the main conclusions we want to propose.
If you do decide to include this, you can refer back to my quick description of #232 elsewhere in the Treat section that they use to encode molecules.
from deep-review.
Related Issues (20)
- Potential Reorganization HOT 7
- Deep Learning for the Life Sciences
- Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding
- Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets
- In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening
- Hidden bias in the DUD-E dataset leads to misleading performance of deep learning in structure-based virtual screening
- Update subsection: Structure-based prediction of bioactivity HOT 2
- Update 'Imaging applications in healthcare'
- Applications in sleep research HOT 2
- LISA: Towards Learned DNA Sequence Search HOT 1
- DeepArk: modeling cis-regulatory codes of model species with deep learning
- Human Protein Atlas (HPA) Cell Type Prediction using Deep Learning and estimating uncertainty HOT 2
- How can one cite this dynamic review? HOT 3
- Update for 2020? HOT 3
- Add a Systematic Text-Mining Component to the Review? HOT 3
- Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs HOT 3
- Alpha Fold 2 HOT 1
- feature and labels HOT 1
- Update in Proteomics mass spectrometry HOT 2
- Consider change to reference 346 HOT 9
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from deep-review.