PhenoSeq
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/reednaidoo/PhenoSeq
- Documentation
- unknown
- Tags
- cellpainting · diffusion-models · microscopy · scgpt · transcriptomics
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- helicalscgpt
A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.
- deepinvdiffusion-models · microscopy
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
- 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"
- Cross-Modality-Conditional-Diffusion-Modeldiffusion-models
CMCD: Conditional Diffusion Model for Medical Image Modality Translation
- api.github.com/repos/reednaidoo/PhenoSeqretrieved 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 →
/v1/entries/6.json→ .entries["phenoseq"]
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