A comparison of aggregate p-value methods and multivariate statistics for self-contained tests of metabolic pathway analysis.
For pathway analysis of genomic data, the most common methods involve combining p-values from individual statistical tests. However, there are several multivariate statistical methods that can be used to test whether a pathway has changed. Because of the large number of variables and pathway sizes i...
Main Author: | Matthew W Mitchell |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4415974?pdf=render |
Similar Items
Applied multivariate statistical analysis /
by: 410530 Johnson, Richard A., et al.
Published: (2002)
by: 410530 Johnson, Richard A., et al.
Published: (2002)
Similar Items
-
Multivariate normative comparisons using an aggregated database.
by: Joost A Agelink van Rentergem, et al.
Published: (2017-01-01) -
Novelty detection with multivariate extreme value statistics
by: Clifton, D, et al.
Published: (2010) -
More on the Supremum Statistic to Test Multivariate Skew-Normality
by: Timothy Opheim, et al.
Published: (2021-11-01) -
A multivariate statistical test for differential expression analysis
by: Michele Tumminello, et al.
Published: (2022-05-01) -
Saddlepoint approximation of the p-values for the multivariate one-sample sign and signed-rank tests
by: Abd El-Raheem M. Abd El-Raheem, et al.
Published: (2024-09-01)