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Short Communication Volume 9 Issue 3
Randomized grouping statistical analysis in clinical omics biomarker discovery
Wenshu Meng, Youhe Gao
Received: July 22, 2020 | Published: August 4, 2020
Citation: Meng W, Gao Y. Randomized grouping statistical analysis in clinical omics biomarker discovery. MOJ Proteomics Bioinform. 2020;9(3):73-75. DOI: 10.15406/mojpb.2020.09.00283
Abstract
When using omics technology to study disease biomarkers, the differences are usually screened between disease group and control group. Because omics data is huge but sample size is limited, the differences between two groups may be randomly generated. To this end, we have proposed a randomized grouping statistical analysis strategy, which is suitable for the study of clinical omics disease biomarkers with limited sample size, and to determine whether the differences between two groups are randomly generated
Keywords: randomized grouping, omics, biomarker
©2020 Meng, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.