https://github.com/applicativesystem/metagenomics-neural-net

application of expression basedneural network to metagenomics
https://github.com/applicativesystem/metagenomics-neural-net

bioinformatics deep-learning deep-neural-networks genome-analysis metagenomes metagenomics neural-network neural-network-metagenomics

Last synced: 25 days ago
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application of expression basedneural network to metagenomics

• Host: GitHub
• URL: https://github.com/applicativesystem/metagenomics-neural-net
• Owner: applicativesystem
• License: mit
• Created: 2024-08-22T19:12:37.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-22T19:49:14.000Z (5 months ago)
• Last Synced: 2024-11-10T20:18:13.173Z (2 months ago)
• Topics: bioinformatics, deep-learning, deep-neural-networks, genome-analysis, metagenomes, metagenomics, neural-network, neural-network-metagenomics
• Language: Python
• Homepage:
• Size: 373 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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 Sablok \

University of Potsdam \

Potsdam,Germany