miRNA-Seq Data Analysis Protocol

MiRNA-Seq data was processed by the limma (Ritchie et al., 2015 (link)) package in R software. The survival curve was described by Kaplan–Meier survival plot and analyzed with log-rank test. The differences between the two groups were analyzed by paired or unpaired Student’s t-test. The Chi-square test was used for exploring the association between miR-383-5p expression and clinical features (such as: age, gender, tumor size, lymph node metastasis, TNM stage, and differentiation grade). P < 0.05 was recognized as statistically significant and all statistical analysis were conducted by IBM SPSS software 19.0.

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Wei C, & Gao J.J. (2019). Downregulated miR-383-5p contributes to the proliferation and migration of gastric cancer cells and is associated with poor prognosis. PeerJ, 7, e7882.

Publication 2019

SPSS software 19.0

Gender Lymph node metastasis Mirna Student Tumor

Corresponding Organization :

Other organizations : Jinzhou Medical University

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Variable analysis

independent variables

MiR-383-5p expression

dependent variables

Survival curve (Kaplan–Meier survival plot)
Association between miR-383-5p expression and clinical features (age, gender, tumor size, lymph node metastasis, TNM stage, and differentiation grade)

control variables

Not explicitly mentioned

Annotations

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