https://github.com/biodataanalysisgroup/old_mongoose
Mongoose (Multi-Objective Network Generator Of Optimized Single-cell Experiments) aims to establish a (proof-of-principle) DL model for perturbational modelling based on Multi-Task Learning (MTL), equipped with biological explainability.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.4%) to scientific vocabulary
Repository
Mongoose (Multi-Objective Network Generator Of Optimized Single-cell Experiments) aims to establish a (proof-of-principle) DL model for perturbational modelling based on Multi-Task Learning (MTL), equipped with biological explainability.
Basic Info
- Host: GitHub
- Owner: BiodataAnalysisGroup
- Language: Jupyter Notebook
- Default Branch: main
- Size: 5.3 MB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Mongoose
Mongoose (Multi-Objective Network Generator Of Optimized Single-cell Experiments) aims to establish a (proof-of-principle) DL model for perturbational modelling based on Multi-Task Learning (MTL), equipped with biological explainability.
Owner
- Name: Biodata Analysis Group
- Login: BiodataAnalysisGroup
- Kind: organization
- Email: fpsom@certh.gr
- Website: https://biodataanalysisgroup.github.io/
- Repositories: 17
- Profile: https://github.com/BiodataAnalysisGroup