Article

DAG-VAERL: a novel causal inference method for building causal gene regulatory network

2026-01-22

Abstract excerpt

<title>Abstract</title> <p>Causal discovery methods provide a powerful tool for uncovering the causal relationships between lncRNAs and target genes in gene regulations. In many causal inference and structure learning tasks, learning the Directed Acyclic Graph (DAG) structure from data is a challenging problem. Traditional DAG learning methods often rely on heuristic searches or strict constraints, which fail to...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 39556dd3-846b-5562-9876-981a668b6910
DOI: 10.21203/rs.3.rs-8245170/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 11 closest

DAG-VAERL: a novel causal inference method for building causal gene regulatory networkDOI 10.21203/rs.3.rs-8245170/v1Read

Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory VariantsSemantic proximity Read

DCI: Learning Causal Differences between Gene Regulatory NetworksSemantic proximity Read

GRNFormer: Accurate Gene Regulatory Network Inference Using Graph TransformerSemantic proximity Read

Causal AI for Data Scientists: A Framework to Automate Discovery of Causal Relationships in Noisy DatasetsSemantic proximity Read

DAGBagM: Learning directed acyclic graphs of mixed variables with an application to identify prognostic protein biomarkers in ovarian cancerSemantic proximity Read

Disentangling direct and pleiotropic SNP effects in alfalfa (Medicago sativa L.) using causal graph learning.Semantic proximity Read

A novel graph attention adversarial network for predicting disease-related associations.Semantic proximity Read

Multi-Domain Counterfactual Causal Graphs for Spurious Pathway Detection and Functional Risk EstimationSemantic proximity Read

Constructing the dynamic transcriptional regulatory networks to identify phenotype-specific transcription regulators.Semantic proximity Read

mosGraphGPT: a foundation model for multi-omic signaling graphs using generative AISemantic proximity Read

Faithful and Diverse Subgraph as Explanation for Large Probabilistic Graphical ModelsSemantic proximity Read