📋 Analysis Log
Error Information
📁 Main Task Files (for subsequent analysis) （Inherited from parent）
📊 Task Summary
Result Files
Tool Introduction & Use Cases
Nomogram is primarily used for bioinformatics analysis.
Features: 1. Build nomogram based on Cox proportional hazards model 2. Predict 1-year, 2-year, and 3-year survival rates 3. Draw calibration curve to validate model accuracy 4. Support multiple covariates (age, gender, grade, TNM stage, etc.) 5. Automatic Bootstrap validation (1000 resampling iterations) 6. Suitable for tumor prognosis prediction model building 7. Input file requires: sample ID (first column as row names), futime, fustat, and covariate columns
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 |
|---|---|---|
| Survival Data File | 包含样本ID、futime、fustat和各协变量列的文件（如Age、Gender、Grade、T、M、N等） | Required Default: None |
| Calibration Time Point | 校准曲线的预测时间点（年），默认为3年 | Required Default: 3 |
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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