Machine learning methods for seasonal allergic rhinitis studies

Machine learning methods for seasonal allergic rhinitis studies

Seasonal allergic rhinitis (SAR) is a disease caused by allergens from both environmental and genetic factors. Some researchers have studied the SAR based on traditional genetic methodologies. As technology develops, a new technique called single-cell RNA sequencing (scRNA-seq) is developed, which c...

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Bibliographic Details
Main Author: Feng, Zijie
Format: Others
Language:English
Published: Linköpings universitet, Statistik och maskininlärning 2021
Subjects:
Machine learning
Seasonal allergic rhinitis
Random forest
Partial least squares discriminant analysis
Bootstrap
Cubic smoothing splines
Single-cell RNA sequencing
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173090

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http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173090

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