neurocombat_sklearn
importeddevices/neurocombat-sklearn
Implementation of Combat harmonization method with scikit-learn compatible format
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Devices & Hardware
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Warvito/neurocombat_sklearn
- Documentation
- unknown
- Tags
- combat · harmonization · inter-scanner · neurocombat · neuroimaging · normalization
- 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.
- neuroCombatcombat · harmonization · neuroimaging · normalization
Harmonization of multi-site imaging data with ComBat (Python)
- intensity-normalizationharmonization · neuroimaging · normalization
Normalize MR image intensities in Python
- cdnormbionormalization
R package: Condition-Decomposition Normalization for Biological Applications
- IRS_normalizationnormalization
An exploration of internal reference scaling (IRS) normalization in isobaric tagging proteomics experiments.
- preprocessingnormalization
preprocessing tools for multi-modal 3D brain imaging
- PRONEnormalization
R Package for preprocessing, normalizing, and analyzing proteomics data
- api.github.com/repos/Warvito/neurocombat_sklearnretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2019-10-16, 24 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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