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Heimdall

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software/heimdall

Exploring how tokenization shapes the performance and generalization of single-cell foundation models.

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

Heimdall project image
GitHub preview card for ma-compbio-lab/Heimdall. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
ma-compbio-lab
Country
unknown
Homepage
heimdall-doc.readthedocs.io/en/latest/
Repository
github.com/ma-compbio-lab/Heimdall
Documentation
unknown
Tags
foundation-models · foundation-models-for-biology · representation-learning · single-cell · tokenization · transcriptomics
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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    [npj Digital Medicine 2025] Multiple Embedding Model for EHR (MEME) used for strong prediction on Emergency Department tasks

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    [IEEE TCYB] Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework

  • foundation-cancer-image-biomarkerfoundation-models · representation-learning

    [Nature Machine Intelligence 2024] Code and evaluation repository for the paper

  • GENEBfoundation-models · representation-learning

    GENEB: ICML 2026 benchmark for genomic foundation models across 100 tasks and 13 functional categories.

sources
  1. api.github.com/repos/ma-compbio-lab/Heimdall
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-16, 20 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/55.json→ .entries["heimdall"]

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