🧹✨Step 1: Clean the Dataset and prepare for analysis🧹✨
Prepare a CSV or XLSX for Analysis
Filter or split a spreadsheet into component parts.
Combine two CSVs.
This workflow guides you through creating a correlation matrix using real-world data. We will analyze 11 genes linked to breast cancer tumor development to observe expression rate variations between normal breast tissue and breast cancer tissue. The dataset comprises 572 entries, including gene names, sample information, and FPKM values (Fragments per kilobase per million mapped fragments). Video Guide: https://youtu.be/G1yKwhbLTQU?si=i7zDg4isGkXhTRGw Community Guide: https://community.julius.ai/t/guide-creating-a-correlation-matrix-on-gene-expression/4238
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