Interpretable Causal Representation Learning for Biological Data in the Pathway Space

Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marín-Goñi +6 more
2/12/2026

No confident code implementation found for this paper. 2 possible matches can be shown below.

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{cedeo2026interpretable,
  title  = {Interpretable Causal Representation Learning for Biological Data in the Pathway Space},
  author = {Jesus de la Fuente Cedeño and Robert Lehmann and Carlos Ruiz-Arenas and Jan Voges and Irene Marín-Goñi and Xabier Martínez Morentin and D. Gómez-Cabrero and Idoia Ochoa and Jesper N. Tegnér and V. Lagani and M. Hernaez},
  year   = {2026},
  doi    = {10.48550/arXiv.2506.12439},
  url    = {https://doi.org/10.48550/arXiv.2506.12439},
  journal = {ICLR 2025 2025}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/4876df3fc67575418162e6e9179ac0799f6f29d8.svg)](https://codeofpaper.com/paper/4876df3fc67575418162e6e9179ac0799f6f29d8)

Discussion