A Statistical Methodology for Evaluating Asymmetry after Normalization with Application to Genomic Data
This study evaluates the symmetry of data distributions after normalization, focusing on various statistical tests, including a few explored test named Rp. We apply normalization techniques, such as variance stabilizing transformations, to ribonucleic acid sequencing data with varying sample sizes t...
Saved in:
| Main Authors: | Víctor Leiva, Jimmy Corzo, Myrian E. Vergara, Raydonal Ospina, Cecilia Castro |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Stats |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-905X/7/3/59 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Runs Test for the Hypothesis of Symmetry with one Sided Alternative
by: Jimmy Antonio Corzo_Salamanca, Myrian Elena Vergara_Morales, José Giovany Babativa-Márquez
Published: (2019-04-01) -
Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison
by: Fatih Orcan
Published: (2020-06-01) -
Statistical Normalization of Mechanical Properties of Natural Date Palm Biofibers Using the Box-Cox Transformation
by: Mokhtar Benarioua, et al.
Published: (2025-12-01) -
La escuela normal superior y los test en Colombia
by: Claudia Figueroa, et al.
Published: (2014-07-01) -
The role of Statistics in the Conditions of the “New Normal”
by: ANNA V. Tikhonova
Published: (2019-01-01)