Detecting differentially expressed genes of heterogeneous and positively skewed data using half Johnson’s modified t-test-Reference-Cited by-同舟云学术

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Detecting differentially expressed genes of heterogeneous and positively skewed data using half Johnson’s modified t-test

Published:2016-08-31 Issue:1 Volume:2 Page:1220066
ISSN:2331-2025
Container-title:Cogent Biology
language:en
Short-container-title:Cogent Biology

Author:

Tzeng I-Shiang¹^ORCID,Chen Li-Shya²,Chang Shy‐Shin³,Lee Yung-ling Leo⁴

Affiliation:

1. Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan

2. Department of Statistics, National Chengchi University, Taipei, Taiwan

3. Department of Family Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan

4. Graduate Institute of Epidemiology and Preventive Health, College of Public Health, National Taiwan University, Taipei, Taiwan

Funder

Ministry of Science and Technology

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.cogentoa.com/article/10.1080/23312025.2016.1220066.pdf

Reference22 articles.

1. Type I Error Inflation of the Separate-Variances Welch t test with Very Small Sample Sizes when Assumptions Are Met

2. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

3. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

4. Ratio-based decisions and the quantitative analysis of cDNA microarray images

5. Biometrical Journal

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1. Modified Significance Analysis of Microarrays in Heterogeneous Diseases;Journal of Personalized Medicine;2021-01-20

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