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Creating correlation matrix on genetic dataset

Create a correlation matrix using real-world data to analyze 11 genes linked to breast cancer tumor development. This workflow helps you observe expression rate variations between normal and cancerous breast tissue using a dataset of 572 entries. Steps include uploading files, previewing datasets, performing descriptive statistics, running normality tests, calculating Spearman’s rank correlation, visualizing correlation matrices, conducting the Mann-Whitney U test, and visualizing statistical significance via boxplots. This process aids in understanding gene expression differences and their potential implications in breast cancer research.

Created by:

Alysha.G

587 runs

GeneticsData VisualizationStatisticsData ProcessingData Cleaning

python

Files Needed

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Overview

What You'll Get

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Ready-to-use Template

Pre-built workflow that you can use immediately or customize to your needs.

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AI-Powered Analysis

Leverage advanced AI to analyze your data and generate insights automatically.

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Step-by-Step Guidance

9 guided steps to complete your analysis.

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Free to get started

No credit card required, start using this template now.

Perfect for these use cases

Data Analysis

Analyze datasets, uncover patterns, and generate insights from your data quickly and efficiently.

Business Intelligence

Make data-driven decisions with automated reports and visualizations tailored to your business needs.

Quick Prototyping

Start with a proven template and customize it to your specific needs without building from scratch.

Frequently Asked Questions

How do I use this template?

Click "Get Started Free" to create your account or sign in. Once you're in, you can run this template immediately with your own data by uploading your files. The template will guide you through each step of the analysis process.

Is this template really free?

Yes! This template is completely free to use. Julius AI offers free access to all templates with no credit card required. You can start using it immediately and upgrade only if you need additional features or higher usage limits.

Can I customize this template?

Absolutely! Once you start using the template, you can modify any step, add new steps, or adjust it to fit your specific needs. Templates are designed to be flexible starting points that you can adapt to your workflow.

What data formats are supported?

Julius AI supports a wide range of data formats including CSV, Excel (XLSX, XLS), JSON, and more. You can also paste data directly or connect to various data sources. The template will help you work with your data regardless of format.

What files do I need for this template?

This template requires you to upload files as part of the workflow. You'll be prompted to upload the necessary files at the appropriate step. Make sure your files are in a supported format (CSV, Excel, etc.) for the best results.