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Phenoverse

imported

data/phenoverse

Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics

Machine-generated from the listed sources and not yet reviewed by a human.

Phenoverse project image
GitHub preview card for KellisLab/Phenoverse. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
KellisLab
Country
unknown
Documentation
unknown
Tags
artificial-intelligence · bioinformatics · biology · computational-biology · disease · interpretable-deep-learning · machine-learning · omics · patient · phenotype · precision-medicine · sample · single-cell
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • OntoloVizbioinformatics · phenotype

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  • scDatasetbioinformatics · omics · single-cell

    scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics

  • btp-industry-use-casesartificial-intelligence · sample

    Key SAP BTP components implemented in the proposed architecture of the BTP for Industries use cases.

  • hcls-ai-factorybioinformatics · computational-biology · precision-medicine

    Healthcare & Life Sciences AI Factory - Precision Medicine to Drug Discovery Platform on NVIDIA DGX Spark

  • ChatCellartificial-intelligence · bioinformatics · biology · single-cell

    ChatCell: Facilitating Single-Cell Analysis with Natural Language

sources
  1. api.github.com/repos/KellisLab/Phenoverse
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-23, 10 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 →

machine-readable

/v1/entries/44.json→ .entries["phenoverse"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.