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Article

Classification of patients with lithium-treated bipolar disorder based on gene expression: Dirichlet Bayesian network model

2023-02-22

Abstract excerpt

<h4>Backgrounds: </h4>: Dirichlet Bayesian network (DBN) model is a method with score-based structural learning, leading to a more accurate knowledge of the structure of the Bayesian network. Therefore, the DBN was used in this study to classify gene expression data in bipolar disorder (BD) with lithium treatment. <h4>Methods: </h4>: In this study, gene expression data of patients with BD, including 47323 genes,...

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Literature Corpus work
c8892046-52b7-574d-9079-030c6cf03042
DOI
10.21203/rs.3.rs-2267196/v1
Open publication

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Classification of patients with lithium-treated bipolar disorder based on gene expression: Dirichlet Bayesian network modelDOI 10.21203/rs.3.rs-2267196/v1
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