deepmodeloptim
importedsoftware/deepmodeloptim
Stochastic Testing and Input Manipulation for Unbiased Learning Systems
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
- nf-core
- Country
- unknown
- Homepage
- nf-co.re/deepmodeloptim
- Repository
- github.com/nf-core/deepmodeloptim
- Documentation
- unknown
- Tags
- artificial-intelligence · dataprocessing · deeplearning · genomics · large-scale · nextflow · nf-core · optimization · pipeline · prototyping-tool · workflow
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- bactmapgenomics · nextflow · nf-core · pipeline · workflow
A mapping-based pipeline for creating a phylogeny from bacterial whole genome sequences
- circdnagenomics · nextflow · nf-core · pipeline · workflow
Pipeline for the identification of extrachromosomal circular DNA (ecDNA) from Circle-seq, WGS, and ATAC-seq data that were generated from cancer and other eukaryotic cells.
- circrnagenomics · nextflow · nf-core · pipeline · workflow
circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data
- phaseimputegenomics · nextflow · nf-core · pipeline · workflow
A bioinformatics pipeline to phase and impute genetic data
- diaproteomicsnextflow · nf-core · pipeline · workflow
Automated quantitative analysis of DIA proteomics mass spectrometry measurements.
- eagernextflow · nf-core · pipeline · workflow
A fully reproducible and state-of-the-art ancient DNA analysis pipeline
- api.github.com/repos/nf-core/deepmodeloptimretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-07-27, 31 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/51.json→ .entries["deepmodeloptim"]
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