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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
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Hi,
I interested in running CRANE for a network analysis. I been trying the implementation in the NetZooR package.
In the paper it's mentioned that CRANE can be used with other methods outside of…
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In SBML spec, there is a definition of 'species':
Species: A pool of entities of the same kind located in a compartment and participating in reactions (processes). In biochemical network models, comm…
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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…
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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…
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### 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…
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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…
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I came across this paper in a Web of Science alert that may be helpful in writing our grant:
Shojaie, A., & Sedaghat, N. (2017). How Different Are Estimated Genetic Networks of Cancer Subtypes?. In…
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We have to change the focus away from the introduction to a research project, to actually qualify the object of the survey. Could be only self-organized criticality in all kind of networks and "transf…
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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…