CDSC: Causal decomposition based on spectral clustering
S Chen, Y Peng, G He, H Zhang, L Cai, C Wei - Information Sciences, 2024 - Elsevier
Causal discovery is pivotal across numerous scientific and engineering disciplines. General
causal discovery methods often falter in accuracy and efficiency when dealing with high …
causal discovery methods often falter in accuracy and efficiency when dealing with high …
Differentially private nonlinear causal discovery from numerical data
Recently, several methods such as private ANM, EM-PC and Priv-PC have been proposed
to perform differentially private causal discovery in various scenarios including bivariate …
to perform differentially private causal discovery in various scenarios including bivariate …
Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph
Causal partitioning is an effective approach for causal discovery based on the divide-and-
conquer strategy. Up to now, various heuristic methods based on conditional independence …
conquer strategy. Up to now, various heuristic methods based on conditional independence …
Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance
Discovering causal relationships from observational data is a challenging topic in artificial
intelligence. Recent works formulate causal discovery as a continuous optimization problem …
intelligence. Recent works formulate causal discovery as a continuous optimization problem …
Hybrid Causal Feature Selection for Cancer Biomarker Identification from RNA-seq Data
The discovery of cancer biomarkers helps to advance medical diagnosis and plays an
important role in biomedical applications. Most of the existing data-driven methods identify …
important role in biomedical applications. Most of the existing data-driven methods identify …
[HTML][HTML] Exploring the Unknown: The Application and Prospects of Artificial Intelligence in Genomics and Bioinformatics
Q Feng, J Li, Q Zhang - Health, 2024 - scirp.org
This review comprehensively explores the core application of artificial intelligence (AI) in the
fields of genomics and bioinformatics, and deeply analyzes how it leads the innovative …
fields of genomics and bioinformatics, and deeply analyzes how it leads the innovative …