GeneDisco: A Benchmark for Experimental Design in Drug Discovery

GeneDisco: A Benchmark for Experimental Design in Drug Discovery

22 October 2021

Ashkan Soleymani

Stefan Bauer

Papers citing "GeneDisco: A Benchmark for Experimental Design in Drug Discovery"

17 / 17 papers shown

Title
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
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 150 0 0 18 Mar 2025
Automated Discovery of Pairwise Interactions from Unstructured Data Zuheng Xu Moksh Jain Ali Denton Shawn Whitfield Aniket Didolkar Berton A. Earnshaw Jason S. Hartford 23 2 0 11 Sep 2024
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 45 4 0 02 Aug 2024
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf Roohani Jian Vora Qian Huang Zach Steinhart Alex Marson Percy Liang J. Leskovec Percy Liang Jure Leskovec LLMAG LM&Ro 46 13 0 27 May 2024
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design Clare Lyle Arash Mehrjou Pascal Notin Andrew Jesson Stefan Bauer Y. Gal Patrick Schwab 49 10 0 07 Dec 2023
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning Rahil Mehrizi Arash Mehrjou M. Alegro Yi Zhao Benedetta Carbone ... S. Sanford Hakan Keles M. Bantscheff Cuong Nguyen Patrick Schwab 28 4 0 15 Jun 2023
DRCFS: Doubly Robust Causal Feature Selection Francesco Quinzan Ashkan Soleymani Patrik Jaillet C. Rojas Stefan Bauer 27 11 0 12 Jun 2023
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 35 2 0 24 Nov 2022
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data Mathieu Chevalley Yusuf Roohani Arash Mehrjou J. Leskovec Patrick Schwab CML 26 36 0 31 Oct 2022
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg Paddy J. Slator Daniel C. Alexander 37 1 0 13 Oct 2022
Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks Danai Deligeorgaki Alex Markham Pratik Misra Liam Solus 27 4 0 03 Oct 2022
Neural Design for Genetic Perturbation Experiments Aldo Pacchiano Drausin Wulsin Robert A. Barton L. Voloch 32 4 0 26 Jul 2022
PyRelationAL: a python library for active learning research and development P. Scherer Thomas Gaudelet Alison Pouplin Alice Del Vecchio S. SurajM Oliver Bolton Jyothish Soman J. Taylor-King Lindsay Edwards KELM 19 0 0 23 May 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 23 34 0 17 Mar 2022
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015