High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis
In microbiome and genomic studies, the regression of compositional data has been a crucial tool for identifying microbial taxa or genes that are associated with clinical phenotypes. To account for the variation in sequencing depth, the classic log-contrast model is often used where read counts are n...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |