Research Article
Volume 3 Issue 6 - 2020
Correlation Analysis on Transcriptomes from Published Human Skin Studies Show Variations between Control Samples
Rebecca SY Teng1, Jasmine CY Kwang1, Angelena SQ Chin1, Clara J Sander1, Irwin ZL Ang1, Jun Hang Foong1, Kar Chi Cheong1, Raphael YH Hon1 and Maurice HT Ling1,2*
1School of Applied Sciences, Temasek Polytechnic, Singapore
2HOHY PTE LTD, Singapore
*Corresponding Author: Maurice HT Ling, HOHY PTE LTD, Singapore.
Received: May 11, 2020; Published: May 26, 2020


Reproducibility has been shown to be a problem in many areas of science, leading to a “reproducibility crisis”. Many studies had examined factors limiting experimental reproducibility and one of the factors suggested is the stability of control samples underpinning all experimental findings. This study examines the transcriptomes of the control samples from three published human skin studies using correlation analysis to evaluate the stability of clinical control samples. Our results show significant differences (t-test p-value < 5.4E-5, Mann-Whitney U p-value < 0.00001) between within data set correlations and between data set correlations, suggesting significant differences between control samples from different data sets. This may have potential implications on the interpretation of clinically important results.

Keywords: Transcriptomes; Human Skin Studies; Reproducibility


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Citation: Maurice HT Ling., et al. “Correlation Analysis on Transcriptomes from Published Human Skin Studies Show Variations between Control Samples”. EC Clinical and Medical Case Reports 3.6 (2020): 143-146.

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