deep-review
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greenelab
A collaboratively written review paper on deep learning, genomics, and precision medicine
Hi, @mapleleaf-soar and I found AI models (e.g. AtomNet #56, ACNN #287) achieve high performance on DUD-E and PDBbind data sets because they learned the bias in the data sets....
We should consider between the options of: * Cut * Update * Expand
Hi all, This is such an awesome review, and i'd love to use it as a basis for teaching, but i've had to jump back-and-forth through sections, as the current...
There has been a fair amount of work on applications in sleep research (mostly around the automated analysis of polysomnography data, for sleep staging and/or identification of sleep disorders). I...
The "Imaging applications in healthcare" section mentions mammography. There has been a lot of work in that space, for instance through the [Digital Mammography DREAM Challenge](https://sagebionetworks.org/research-projects/digital-mammography-dream-challenge/). The overview paper for...
> Recently much effort has been invested in using convolutional neural network (CNN) models trained on 3D structural images of protein-ligand complexes to distinguish binding from non-binding ligands for virtual...
>Reports of successful applications of machine learning (ML) methods in structure-based virtual screening (SBVS) are increasing. ML methods such as convolutional neural networks show promising results and often outperform traditional...
> Predicting protein-ligand interactions using artificial intelligence (AI) models has attracted great interest in recent years. However, data-driven AI models unequivocally suffer from a lack of sufficiently large and unbiased...
> Convolutional neural network (CNN) based methods have outperformed conventional machine learning methods in predicting the binding preference of DNA-protein binding. Although studies in the past have shown that more...
Deep Learning for the Life Sciences https://www.oreilly.com/library/view/deep-learning-for/9781492039822/ ISBN: 9781492039822 > Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the...
