README.md

metadata

title: FateFormer Explorer
short_description: Multimodal fate from RNA, ATAC, and metabolic flux models.
emoji: 🧬
colorFrom: purple
colorTo: indigo
tags:
  - streamlit
  - single-cell
  - multi-omics
  - genomics
  - atac-seq
  - rna-seq
  - metabolic-modeling
  - deep-learning
  - biology
license: mit
sdk: docker
app_port: 7860

FateFormer Explorer

FateFormer is a multimodal model (RNA expression, chromatin accessibility, metabolic flux) trained to predict single-cell fate during reprogramming. Labels come from CellTag-Multi lineage tracing on a MEF → induced endoderm progenitor (iEP) system.

This repository is the Streamlit app that explores the model and data: validation latent space (UMAP), global feature importance (latent shift and attention), per-cell views, and flux-focused analysis. The UI reads precomputed artifacts under streamlit_hf/cache/.

Live app: https://huggingface.co/spaces/Angione-Lab/FateFormerExplorer

Run, Docker, Hugging Face Spaces, and cache regeneration: see streamlit_hf/README.md and streamlit_hf/HUGGINGFACE.md.