Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information

30 September 2022

Robert A. Barton

George Karypis

Papers citing "Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information"

7 / 7 papers shown

Title
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype Changxi Chi Jun-Xiong Xia Jingbo Zhou Jiabei Cheng Chang Yu Stan Z. Li 34 0 0 06 May 2025
In-silico biological discovery with large perturbation models Djordje Miladinovic Tobias Hoppe Mathieu Chevalley Andreas Georgiou Lachlan Stuart Arash Mehrjou M. Bantscheff Bernhard Schölkopf Patrick Schwab 36 0 0 30 Mar 2025
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mao Romain Lopez Kai Liu Jan-Christian Huetter David Richmond Panayiotis Benos Lin Qiu CML 22 3 0 29 Oct 2024
CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement Seungheun Baek Soyon Park Y. T. Chok Junhyun Lee Jueon Park Mogan Gim Jaewoo Kang CML 32 1 0 09 Sep 2024
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 13 11 0 02 Jun 2023
Variational Causal Inference Yulun Wu Layne Price Zichen Wang V. Ioannidis Robert A. Barton George Karypis BDL CML 44 4 0 13 Sep 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,234 0 24 Nov 2016