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Build Securely on AWS with Proven Frameworks
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This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
Pipeline for large-scale genome changes analysis of genome datasets.
The active use repository has migrated over to: https://github.com/darrenabbey/ymap
The repository here was errantly created with some large binary files included. Attempts to extract the files from the history here have failed. A copy of the history was successfully scrubbed and then hosted at github.
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Eukaryotic pathogens have complicated and dynamic genomes.
To facilitate analysis of copy number variations (CNV), single nucleotide polymorphisms (SNPs), and loss of...