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PhenoSeq

imported

software/phenoseq

PhenoSeq: Conditional Diffusion Model; Generating Transcriptomic Representations from Cell Painting Images

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

PhenoSeq project image
GitHub preview card for reednaidoo/PhenoSeq. 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
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cellpainting · diffusion-models · microscopy · scgpt · transcriptomics
Regulatory
unknown
similar by tags

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  • BrainDiVEdiffusion-models

    Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)

  • BrLPdiffusion-models

    [MICCAI, 2024] (Oral, RU @ MedIA Best Paper Award) Official implementation of the Brain Latent Progression (BrLP) method from "Enhancing Spatiotemporal Disease Progression Models via Latent…

  • ccnetdiffusion-models

    Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"

  • CMCD: Conditional Diffusion Model for Medical Image Modality Translation

sources
  1. api.github.com/repos/reednaidoo/PhenoSeq
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-19, 5 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/6.json→ .entries["phenoseq"]

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