-
https://github.com/Australian-Structural-Biology-Computing/proteinfold/blob/8ce05982ff57ba3722c4e87093307b68f9923d43/modules/local/run_alphafold2.nf#L67C23-L67C28
Should be truly random as each 5 m…
-
A lot of things seem to use ANN for prediction in fields that are really far from biology and brains eg. convolutional neural networks. How are they using neural networks exactly?
ghost updated
9 years ago
-
### Task motivation
Gene Regulatory Network (GRN) inference is pivotal in systems biology, offering profound insights into the complex mechanisms that govern gene expression and cellular behavior. Th…
-
### Background
A biological pathway is a network consisting of interactions between biological molecules (e.g. proteins and chemicals) in a cell that lead to a certain product or a change. Research…
-
Convolutional Neural Networks, Recurrent Neural Networks, and other deep learning approaches have achieved unprecedented performance on a broad range of problems (e.g. Computer Vision and Speech Recog…
-
https://doi.org/10.1042/ETLS20160025
> Deep learning is the trendiest tool in a computational biologist's toolbox. This exciting class of methods, based on artificial neural networks, quickly becam…
-
This issue focuses on introducing a **proofreading mechanism** for the cell division process in the simulation. In this system, each cell is represented as a neural network, and its "genetic material"…
-
If you want to become a reviewer for ReScience, please post your information here. The format is:
```
[name](github account link)
Scientific expertise - Language expertise
ORCID: [xxxx](http…
-
#### Description
This is a feature request in allow flexibility in elastic net, which allows the user to apply separate penalties to each coefficient of the L1 term. The default value of this penal…
-
https://doi.org/10.1371/journal.pcbi.1005836 (preprint https://doi.org/10.1101/105957)
> New architectures of multilayer artificial neural networks and new methods for training them are rapidly rev…