CART variance stabilization and regularization for high-throughput genomic data | Zendy

Ariadni Papana | Zendy; Hemant Ishwaran | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

CART variance stabilization and regularization for high-throughput genomic data

Author(s) -

Ariadni Papana,

Hemant Ishwaran

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl384

Subject(s) - computer science , pooling , data mining , cart , variance (accounting) , regularization (linguistics) , software , regression , statistics , statistical hypothesis testing , artificial intelligence , mathematics , mechanical engineering , accounting , engineering , business , programming language

mRNA expression data obtained from high-throughput DNA microarrays exhibit strong departures from homogeneity of variances. Often a complex relationship between mean expression value and variance is seen. Variance stabilization of such data is crucial for many types of statistical analyses, while regularization of variances (pooling of information) can greatly improve overall accuracy of test statistics.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research