📋 Analysis Log
Error Information
📁 Main Task Files (for subsequent analysis) （Inherited from parent）
📊 Task Summary
Result Files
Tool Introduction & Use Cases
Time-dependent ROC Curve is primarily used for bioinformatics analysis.
Features: 1. Time-dependent ROC analysis based on survival data 2. Evaluate predictor performance at specified time point (e.g., 1 year) 3. Use timeROC package for analysis 4. Apply Aalen weighting method 5. Automatically calculate and display AUC value 6. Suitable for tumor prognosis biomarker evaluation and risk score validation 7. Input requires: futime (survival time), fustat (survival status, 0=censored, 1=event), and predictor column 8. Supports CSV, TXT, XLSX formats
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futime、fustat和预测变量列的文件 | Required Default: None |
| Predictor Variable Name | Missing Value Handling: Determines how to handle missing data (removal or imputation). Recommendation: Prioritize data quality. Use simple imputation for random, low-proportion missingness; remove features with high missing rates. | Optional Default: score |
| Prediction Time (years) | 评估预测能力的时间点（单位：年） | Optional Default: 1 |
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 90 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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