Assessment of Drugs Toxicity and Associated Biomarker Genes Using Hierarchical Clustering.

ABSTRACT: Background and objectives: Assessment of drugs toxicity and associated biomarker genes is one of the most important tasks in the pre-clinical phase of drug development pipeline as well as in toxicogenomic studies. There are few statistical methods for the assessment of doses of drugs (DDs) toxicity and their associated biomarker genes. However, these methods consume more time for computation of the model parameters using the EM (expectation-maximization) based iterative approaches. To overcome this problem, in this paper, an attempt is made to propose an alternative approach based on hierarchical clustering (HC) for the same purpose. Methods and materials: There are several types of HC approaches whose performance depends on different similarity/distance measures. Therefore, we explored su

SUBMITTER: Hasan MN 

PROVIDER: S-EPMC6723056 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature