Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information

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Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information

30 September 2022

Robert A. Barton

George Karypis

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

12 / 12 papers shown

Title
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype Changxi Chi Jun Xia Jingbo Zhou Jiabei Cheng Chang Yu Stan Z. Li 69 0 0 06 May 2025
In-silico biological discovery with large perturbation models Djordje Miladinovic Tobias Höppe Mathieu Chevalley Andreas Georgiou Lachlan Stuart Arash Mehrjou M. Bantscheff Bernhard Schölkopf Patrick Schwab 70 1 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 87 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 99 1 0 09 Sep 2024
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 133 11 0 02 Jun 2023
Variational Causal Inference Yulun Wu Layne Price Zichen Wang V. Ioannidis Robert A. Barton George Karypis BDL CML 139 5 0 13 Sep 2022
Graph-based Molecular Representation Learning Zhichun Guo Kehan Guo B. Nan Yijun Tian Roshni G. Iyer ... Olaf Wiest Xiangliang Zhang Wei Wang Chuxu Zhang Nitesh Chawla AI4CE 84 65 0 08 Jul 2022
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery Yulun Wu Mikaela Cashman Nicholas Choma E. Prates V. G. M. Vergara ... M. Head Rick L. Stevens Peter Nugent Daniel A. Jacobson James B. Brown GNN 91 10 0 04 Jun 2021
Tutorial: Deriving The Efficient Influence Curve for Large Models Jonathan Levy TDI 64 13 0 05 Mar 2019
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 242 750 0 24 May 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 853 3,312 0 24 Nov 2016
Supervised, semi-supervised and unsupervised inference of gene regulatory networks S. Maetschke P. Madhamshettiwar Melissa J. Davis M. Ragan 70 162 0 07 Jan 2013

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