PILOT
importedsoftware/pilot
Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)
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
- CostaLab
- Country
- unknown
- Homepage
- pilot.readthedocs.io/
- Repository
- github.com/CostaLab/PILOT
- Documentation
- unknown
- Tags
- digital-pathology · disease-progression · disease-trajectory · multi-scale-single-cell · single-cell
- 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.
- PILOT-GM-VAEdisease-progression · multi-scale-single-cell · single-cell
Patient-Level Analysis of Single Cell Disease Atlas with Optimal Transport of Gaussian Mixtures Variational Autoencoders
- ACMILdigital-pathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikdigital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- anonymize-slide-python3-guidigital-pathology
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
- AtlasPatchdigital-pathology
AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing
- breast-epithelium-segmentationdigital-pathology
🌸 Breast epithelium segmentation through IHC-guided supervision
- api.github.com/repos/CostaLab/PILOTretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-20, 26 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/33.json→ .entries["pilot"]
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