gauravcodepro / neural-network-metagenomics

deep neural networks on metagenomics transcriptomics and expression levels.

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neural-network-metagenomics

a function to generate the hidden layers from the given fasta and the expression files. it takes the replicate columns and then calculates the expression and length as a hidden layer. Applying to the transcriptomics, meta transcriptomics and other expression datasets. It uses expression across the controls and the replicates as weights and you can give a node training additional node based on the relu and the edge nodes. it takes the replicate columns and then calculates the expression and length as a hidden layer. Applying to the transcriptomics, meta transcriptomics and other expression datasets. It uses expression across the controls and the replicates as weights and you can give a node training additional node based on the relu and the edge nodes.

Gaurav
Academic Staff Member
Bioinformatics
Institute for Biochemistry and Biology
University of Potsdam
Potsdam,Germany

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deep neural networks on metagenomics transcriptomics and expression levels.

License:MIT License


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Language:Python 100.0%