📋 Analysis Log
Error Information
📁 Main Task Files (for subsequent analysis) (Inherited from parent)
📊 Task Summary
Result Files
Tool Introduction & Use Cases
Independent Prognostic Analysis is primarily used for bioinformatics analysis.
Evaluate the impact of risk scores and clinical factors on patient survival prognosis through univariate and multivariate Cox proportional hazards regression models. Univariate analysis identifies factors significantly associated with prognosis, while multivariate analysis evaluates the independent prognostic value of each variable after adjusting for other factors. The tool automatically generates forest plots to visualize results, clearly showing hazard ratios (HR) and 95% confidence intervals.
Main Use Cases:
- Explore data patterns and support subsequent in-depth analysis
Key Features:
- Standardized processing and result export
- Key charts and table output
- Can be used as input for subsequent analysis
Parameter Details
| Parameter | Meaning & Recommendations | Settings |
|---|---|---|
| Risk Score File | 包含生存数据和风险评分的文件 | Required Default: None |
| Clinical Information File | 包含各种临床变量的文件 | Required Default: None |
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 180 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.
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