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scDFM

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software/scdfm

scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction (ICLR 2026)

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

scDFM project image
GitHub preview card for AI4Science-WestlakeU/scDFM. 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
AI4Science-WestlakeU
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
distribution-shift · flow-matching-models · perturbation-prediction · single-cell · virtual-cell
Regulatory
unknown
built by · 3

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.

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.

  • Chreodeperturbation-prediction · single-cell

    Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction (arXiv:2605.28111)

  • PULSARsingle-cell · virtual-cell

    PULSAR: a Foundation Model for Multi-scale and Multicellular Biology

  • frd-scoredistribution-shift

    Official implementation of the Fréchet Radiomic Distance

  • xand-raydistribution-shift

    Chest X-ray screening research with explicit distribution shift evaluation, per-disease binary models and validated Grad-CAM localization.

  • CIGAdistribution-shift

    [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

  • ADTnormsingle-cell

    ADTnorm normalizes the cell surface protein measurement of CITE-seq data, facilitating across batches and across studies data integration.

sources
  1. api.github.com/repos/AI4Science-WestlakeU/scDFM
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-22, 44 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/12.json→ .entries["scdfm"]

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