GENetLib
importedsoftware/genetlib
A Python library for Gene–environment interaction analysis via deep learning
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- XMU-Kuangnan-Fang-Team
- Country
- unknown
- Documentation
- unknown
- Tags
- bioinformatics · deep-learning · functional-data-analysis · g-e-interaction · genome · genome-analysis · neural-network · penalty · python · pytorch · sparsity
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- FAST-IRESsparsity
An Electromagnetic Source Imaging Algorithm for Estimating Extended Brain Sources and Large-scale Networks
- bactomebioinformatics · genome-analysis
Toolbox for Studying Bacteria, Archaea, and Complex Taxons
- biocommons.seqrepobioinformatics · genome-analysis
non-redundant, compressed, journalled, file-based storage for biological sequences
- BRIGbioinformatics · genome-analysis
BRIG is a cross-platform (Windows/Mac/Linux) application that displays circular comparison images of multiple genomes using BLAST.
- COGclassifierbioinformatics · genome-analysis
A tool for classifying prokaryote protein sequences into COG(Cluster of Orthologous Genes) functional category
- Genome-on-Dietbioinformatics · genome-analysis
Genome-on-Diet is a fast and memory-frugal framework for exemplifying sparsified genomics for read mapping, containment search, and metagenomic profiling. It is much faster & more memory-efficient…
- api.github.com/repos/XMU-Kuangnan-Fang-Team/GENetLibretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-25, 197 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/11.json→ .entries["genetlib"]
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