Bayesian networks to answer challenging neuroscience questions

P. Larrañaga, C. Bielza
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引用次数: 1

Abstract

Summary form only given. In this keynote lecture we will show how Bayesian networks can address important neuroscience problems. These problems include: (a) neuroanatomy issues, like modeling and simulation of dendritic trees and classifying neuron types based on morphological features; (b) neurodegenerative diseases, like predicting health-related quality of life in Parkinson's disease, classification of dementia stages in Parkinson's disease and searching for genetic biomarkers in Alzheimer's disease.
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贝叶斯网络来回答具有挑战性的神经科学问题
只提供摘要形式。在这次主题演讲中,我们将展示贝叶斯网络如何解决重要的神经科学问题。这些问题包括:(a)神经解剖学问题,如树突树的建模和模拟以及基于形态学特征的神经元类型分类;(b)神经退行性疾病,如预测帕金森病患者与健康相关的生活质量,帕金森病患者痴呆阶段的分类,以及寻找阿尔茨海默病的遗传生物标志物。
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