https://github.com/ibchgenomic/machine-learning-expression-sequence

sequence and expression based machine learning
https://github.com/ibchgenomic/machine-learning-expression-sequence

bioinformatics expression-analysis genome-analysis genome-features genome-informatics machine-learning machinelearning sequence-features

Last synced: 2 months ago
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sequence and expression based machine learning

• Host: GitHub
• URL: https://github.com/ibchgenomic/machine-learning-expression-sequence
• Owner: IBCHgenomic
• License: mit
• Created: 2024-08-22T19:15:22.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-08-22T20:04:55.000Z (9 months ago)
• Last Synced: 2025-03-11T23:15:34.182Z (2 months ago)
• Topics: bioinformatics, expression-analysis, genome-analysis, genome-features, genome-informatics, machine-learning, machinelearning, sequence-features
• Language: Python
• Homepage:
• Size: 3.91 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# expression-sequence-ml

- a automated framework for the sequence to expression machine learning.

- it takes the fasta sequences, expression  file from the expression analysis and then writes the pickle file: a automated framework for the sequence to expression machine learning.

- it takes the fasta sequences, expression file from the expression analysis and then writes the pickle file for the automated machine learning.

- It goes through all the classifier and gives you all the classifier and you can select the one based on the precision and accuracy call.

- It writes pickle file with the highest protocol. since machine learning algorithms dont allow for the item assignment so i have put all the iterations as pickle file, you can remove the string variable and run them.

Gaurav Sablok \

University of Potsdam \

Potsdam,Germany