wilsoncai1992/adaptest: Data-Adaptive Statistics for High-Dimensional Multiple Testing
Data-adaptive test statistics represent a general methodology for performing multiple hypothesis testing on effects sizes while maintaining honest statistical inference when operating in high-dimensional settings (<doi here>). The utilities provided here extend the use of this general methodology to many common data analytic challenges that arise in modern computational and genomic biology.
Getting started
Browse package contents
Package details |
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| Bioconductor views | DifferentialExpression DimensionReduction GeneExpression Genetics Microarray MultipleComparison Regression Sequencing |
| Maintainer | |
| License | GPL-2 |
| Version | 1.7.1 |
| URL | https://github.com/wilsoncai1992/adaptest |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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