Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction

This publication has 13 references indexed in Scilit:

• Single cell transcriptional perturbome in pluripotent stem cell models
  Molecular Systems Biology, 2025
• HALO: hierarchical causal modeling for single cell multi-omics data
  Nature Communications, 2025
• Unveiling causal regulatory mechanisms through cell-state parallax
  Nature Communications, 2025
• Domain generalization via content factors isolation: a two-level latent variable modeling approach
  Machine Learning, 2025
• RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations
  Communications Biology, 2023
• CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
  2021
• Toward Causal Representation Learning
  Proceedings of the IEEE, 2021
• Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing
  Nature Biotechnology, 2020
• Inferring single-trial neural population dynamics using sequential auto-encoders
  Nature Methods, 2018
• Gene Ontology: tool for the unification of biology
  Nature Genetics, 2000