Correlation Plot

Genomics Analysis

You can enter a new title

Rows for samples, columns for genes

This option will load automatically after file upload

This option will load automatically after file upload

💾 Data Retention: Upload files retained for 10days, Result files retained for 15daysData will be retained after package expiration. Please download important data in time.

Task UUID:
Created At:
Analysis Progress

📋 Analysis Log


                            

Error Information

📁 Main Task Files (for subsequent analysis) (Inherited from parent)

Result Files

🔄 Adjust Parameters & Re-analyze

Only the following parameters can be adjusted in sub-task

No sub-tasks yet

Login to View Results

Login to view your analysis results

Tool Introduction & Use Cases

Correlation Plot is primarily used for calculating and visualizing correlations (between samples or genes).

Create correlation scatter plots between two genes with regression line and correlation statistics. Supports Spearman and Pearson methods. Optional density plots.

Main Use Cases:

  • Assess overall consistency between samples or identify co-expression gene modules
  • Provide basis for network analysis and module discovery

Key Features:

  • Correlation matrix and heatmap
  • Support for multiple correlation coefficients (Pearson/Spearman)
  • Clustering and module visualization

Parameter Details

ParameterMeaning & RecommendationsSettings
Expression Data上传包含基因表达数据的文件
Required
Default: None
Gene for X-axis输入第一个基因的名称(X轴)
Required
Default: None
Gene for Y-axis输入第二个基因的名称(Y轴)
Required
Default: None
Correlation MethodAnalysis Method Selection: Different methods have different distribution assumptions and robustness. Recommendation: For RNA-seq differential analysis, use DESeq2/edgeR; for microarrays, use limma; for enrichment, use hypergeometric/ORA or GSEA.
Optional
Default: spearman
Regression Line是否在散点图上添加回归线
Optional
Default: true
Density Plot是否在坐标轴上显示密度分布
Optional
Default: false

Input File Requirements

Please ensure your input file format is correct, as this is fundamental to successful analysis. Typically, you need to provide a data matrix containing gene/protein expression values.

This tool does not currently provide sample files. Please refer to the common format: typically CSV or TXT files with the first column as gene/protein IDs, followed by expression values for each sample.

Frequently Asked Questions

Q: How long does the analysis take?

A: Estimated execution time is approximately 60 seconds, depending on your data size and current server load.

Q: What if the analysis fails?

A: If the analysis fails, your credits will not be deducted. First, check if your input file format matches the sample file, or adjust parameters based on error messages. If the problem persists, please contact us through the page's feedback function.

Login to View History

Login to view your analysis task history

Feedback Tips

We value your feedback! Please describe your issue or suggestion in detail, and we will reply as soon as possible.

Please describe your issue or suggestion in detail to help us better assist you

Please login before submitting feedback

My Feedback History

Login to view your feedback history