Files
chromatin-vgae-hic/CITATION.cff
aman acadbd780c v1.0.0: VGAE applied to GM12878 vs IMR90 chr21 Hi-C at 25kb
Full reproducible pipeline: .mcool + ChIP-seq bigwigs → latent
  embeddings → A/B compartment calls → cross-cell comparison.

  Key results (chr21, 25 kb, latent dim=32):
  - Test AUC=0.777, AP=0.759 (converged epoch 31/300)
  - GM12878 A/B silhouette (cosine) = 0.775
  - IMR90 zero-shot silhouette = 0.443
  - A-compartment bins stable across cell types (mean cosine Δ=0.042)
  - B-compartment bins shift substantially (mean cosine Δ=0.451)
  - 101 B→A and 70 A→B compartment switches GM12878→IMR90
2026-05-15 01:53:04 +02:00

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YAML

cff-version: 1.2.0
message: >-
If you use this software in your research, please cite it using the
following metadata.
type: software
title: >-
chromatin-gnn: Variational Graph Autoencoder for learning latent
representations of chromatin topology from Hi-C data
authors:
- family-names: Okada
given-names: Toru
alias: ToruOkadaOi
# orcid: "https://orcid.org/XXXX-XXXX-XXXX-XXXX" # add your ORCID
version: "1.0.0"
date-released: "2024-01-01" # update to actual release date
doi: "10.5281/zenodo.XXXXXXX" # replace with actual Zenodo DOI after deposit
repository-code: "https://github.com/ToruOkadaOi/chromatin-gnn"
url: "https://github.com/ToruOkadaOi/chromatin-gnn"
license: MIT
abstract: >-
A Variational Graph Autoencoder (VGAE) applied to Hi-C chromatin contact
data to learn unsupervised latent representations of chromatin topology.
Genomic bins are modelled as graph nodes with ChIP-seq features (CTCF,
H3K27me3); normalised contact frequencies define weighted edges.
The model is trained on GM12878 lymphoblastoid cells and evaluated on
both link-prediction (AUROC/AP) and the biological interpretability of
the latent space against known A/B compartments.
keywords:
- chromatin
- Hi-C
- graph neural network
- variational autoencoder
- VGAE
- A/B compartments
- topologically associating domains
- TAD
- epigenomics
- 3D genome organisation
references:
- type: article
title: >-
A 3D Map of the Human Genome at Kilobase Resolution Reveals
Principles of Chromatin Looping
authors:
- family-names: Rao
given-names: "Suhas S. P."
- family-names: Huntley
given-names: "Miriam H."
year: 2014
journal: Cell
doi: 10.1016/j.cell.2014.11.021
- type: article
title: "Variational Graph Auto-Encoders"
authors:
- family-names: Kipf
given-names: "Thomas N."
- family-names: Welling
given-names: Max
year: 2016
url: "https://arxiv.org/abs/1611.07308"