conftrace_

gene regulatory network

24 papers

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Also known as

GRN

Co-occurring keywords

causal discovery (460) directed acyclic graph (245) causal inference (1630) single-cell rna sequencing (24) structure learning (341) bayesian inference (1907) probabilistic graphical model (226) bayesian network (378) graph structure learning (58) gene expression (58)

Papers

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
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction IJCAI 2025
Pruning neural network models for gene regulatory dynamics using data and domain knowledge NIPS 2024
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level AAAI 2023
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks AAAI 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets NIPS 2023
Model-based Causal Discovery for Zero-Inflated Count Data JMLR 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
Direct Estimation of Differences in Causal Graphs NIPS 2018
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018
Permutation-based Causal Inference Algorithms with Interventions NIPS 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
Structured Learning of Gaussian Graphical Models NIPS 2012
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010