Correlation Matrices & Analyzing Gene Expression

Welcome to our tutorial on how to create correlation matrices and analyze gene expression with Julius AI! In this video, we guide you through cleaning your dataset, how to generate and interpret correlation matrices, and how to perform a Mann-Whitney U test to analyze gene expression in normal versus cancerous breast tissue.
Make sure to like, comment, and subscribe for more tutorials on how to effectively use Julius for research, marketing, and everything in-between!
You can follow along with this tutorial on Julius's community forum: community.juli....
Citation:
Zhang Y, Tong GH, Wei XX, Chen HY et al. Identification of Five Cytotoxicity-Related Genes Involved in the Progression of Triple-Negative Breast Cancer. Front Genet 2021;12:723477. PMID: 35046993
Skip to:
00: 00 Introduction
00:12 Examining the Dataset
01:22 Cleaning and Splitting Dataset
02:20 Running Descriptive Statistics
03:40 Creating Histograms
04:40 Normality Test
05:18 Creating Correlation Matrix
06:00 Explaining Correlations
07:00 Examining Gene Expression
07:51 Visualizing Gene Expression
08:49 Conclusion