Combining supervised and unsupervised analyses to quantify behavioral phenotypes and validate therapeutic efficacy in a triple transgenic mouse model of Alzheimer’s disease

Abstract excerpt

Behavioral testing is an essential tool for evaluating cognitive function and dysfunction in preclinical research models. This is of special importance in the study of neurological disorders such as Alzheimer’s disease. However, the reproducibility of classic behavioral assays is frequently compromised by interstudy variation, leading to ambiguous conclusions about the behavioral markers characterizing the disease...

Topics

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• Alzheimer Disease
• Behavior, Animal
• Disease Models, Animal
• Mice, Inbred C57BL
• Mice, Transgenic
• Reproducibility of Results
• Supervised Machine Learning
• Unsupervised Machine Learning

Identifiers and source

Literature Corpus work

6fb05b6c-43ab-56a7-b097-6f7c719a2568

DOI

10.1101/2024.06.07.597924