Predicting Cellular Responses to Novel Drug Perturbations at a
Single-Cell Resolution

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

28 April 2022

Stephan Günnemann

Fabian J. Theis

Papers citing "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution"

16 / 16 papers shown

Title
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models Alejandro Velez-Arce Marinka Zitnik 24 0 0 08 May 2025
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap Alice Driessen Benedek Harsanyi Marianna Rapsomaniki Jannis Born AI4CE 34 0 0 11 Apr 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
Towards generalization of drug response prediction to single cells and patients utilizing importance-aware multi-source domain transfer learning Wei Duan Hui Liu Judong Luo MedIm 30 1 0 08 Jan 2025
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction Sepideh Maleki Jan-Christian Huetter Kangway V Chuang Gabriele Scalia Tommaso Biancalani Tommaso Biancalani AI4CE 90 2 0 18 Dec 2024
Generative Intervention Models for Causal Perturbation Modeling Nora Schneider Lars Lorch Niki Kilbertus Bernhard Schölkopf Andreas Krause 83 2 0 21 Nov 2024
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction Yanshuo Chen Zhengmian Hu Wei Chen Heng Huang OT 47 2 0 01 Nov 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mao Romain Lopez Kai Liu Jan-Christian Huetter David Richmond Panayiotis Benos Lin Qiu CML 27 3 0 29 Oct 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 39 5 0 26 Aug 2024
Cell Morphology-Guided Small Molecule Generation with GFlowNets Stephen Zhewen Lu Ziqing Lu Ehsan Hajiramezanali Tommaso Biancalani Yoshua Bengio Gabriele Scalia Michał Koziarski 38 2 0 09 Aug 2024
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images Anis Bourou Thomas Boyer Kévin Daupin Véronique Dubreuil A. D. Thonel Valérie Mezger Auguste Genovesio DiffM MedIm 8 1 0 13 Dec 2023
Cross-domain feature disentanglement for interpretable modeling of tumor microenvironment impact on drug response Jia Zhai Hui Liu 19 0 0 15 Nov 2023
Entropic (Gromov) Wasserstein Flow Matching with GENOT Dominik Klein Théo Uscidda Fabian J. Theis Marco Cuturi OT 32 3 0 13 Oct 2023
MAGNet: Motif-Agnostic Generation of Molecules from Shapes Leon Hetzel Johanna Sommer Bastian Alexander Rieck Fabian J. Theis Stephan Günnemann 23 6 0 30 May 2023
The power of motifs as inductive bias for learning molecular distributions Johanna Sommer Leon Hetzel David Lüdke Fabian J. Theis Stephan Günnemann 25 5 0 04 Apr 2023
Deep Learning in Single-Cell Analysis Dylan Molho Jiayuan Ding Zhaoheng Li Haifang Wen Wenzhuo Tang ... P. Danaher Robert Yang Y. Lei Yuying Xie Jiliang Tang 28 22 0 22 Oct 2022