gene regulatory network

Deciphering Genotype-Phenotype Mechanisms from High-Content Profiling via Knowledge-Guided Multi-modal Graph Learning CVPR 2026 Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction IJCAI 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype IJCAI 2025 GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models ACL 2025 Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport ICLR 2025 Pruning neural network models for gene regulatory dynamics using data and domain knowledge NeurIPS 2024 DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets NeurIPS 2023 GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks AAAI 2023 Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023 Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level AAAI 2023 Model-based Causal Discovery for Zero-Inflated Count Data JMLR 2023 Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information ICLR 2023 Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors CLeaR 2022 Gene Regulatory Network Inference as Relaxed Graph Matching AAAI 2021 Gene Regulatory Network Inference using 3D Convolutional Neural Network AAAI 2021 Anchored Causal Inference in the Presence of Measurement Error UAI 2020 BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks PGM 2020 Continuous Time Bayesian Networks with Clocks ICML 2020 FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power IJCAI 2019 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 Direct Estimation of Differences in Causal Graphs NeurIPS 2018 Permutation-based Causal Inference Algorithms with Interventions NeurIPS 2017 Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017 Learning Modular Structures from Network Data and Node Variables ICML 2014 Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012