DEDUCE: statistical inference on disease-associated genes uncovers tissue-disease associations.

Abstract excerpt

Accurate identification of affected tissues of human diseases is important for the derivation of disease etiology and the development of new treatment strategies. In this study, we develop a logistic regression-based method named DEDUCE (disease tissue detection using logistic regression) that combines genomics big data and machine learning to address this important problem. The central hypothesis is that most...

Topics

• Humans
• Machine Learning
• Genetic Predisposition to Disease
• Logistic Models
• Organ Specificity
• Genomics