Immune Infiltration Analysis

Data Processing

Task Title *

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Expression Matrix File * Download Sample

Please upload expression matrix file. Supports CSV, XLSX, TXT formats. First column should be gene names (Gene Symbol), other columns are expression values for each sample.

Sample Group File * Download Sample

Please upload sample group file. Supports CSV, XLSX, TXT formats. File must contain two columns: first column is sample name (sample), second column is group info (group). Sample names should match the column names in expression matrix.

Expression Data Type *

TPM FPKM Counts

Counts: Raw read counts; TPM: Transcripts Per Million; FPKM: Fragments Per Kilobase Million. Counts data will be automatically normalized using VST transformation.

Figure Size

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

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Analysis Progress

📋 Analysis Log

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

Result Files

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🔄 Adjust Parameters & Re-analyze

Only the following parameters can be adjusted in sub-task

Sample Group File *

💡 Please upload sample group file. Supports CSV, XLSX, TXT formats. File must contain two columns: first column is sample name (sample), second column is group info (group). Sample names should match the column names in expression matrix.

Figure Size

💡 Format: height*width, e.g., 10*15. Unit is inches. Recommended size: 10*15 for most cases.

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Tool Introduction & Use Cases

Immune Infiltration Analysis is primarily used for bioinformatics analysis.

Quantify the abundances of 22 immune cell types in mixed cell populations using gene expression data. This tool employs the CIBERSORT algorithm with LM22 signature matrix to estimate immune cell composition in tumor microenvironment. Supports Counts, TPM, and FPKM expression data types. Results can be used for group comparison to reveal immune infiltration differences.

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
Expression Matrix File	表达矩阵文件，行为基因名，列为样本名	Required Default: None
Sample Group File	Experimental Grouping/Control Setting: Defines comparison groups (two or more) and reference group. Recommendation: Reference group is typically "control/untreated". Ensure grouping matches sample annotations.	Required Default: None
Expression Data Type	选择表达矩阵的数据类型	Required Default: counts
Figure Size	图片尺寸设置，格式：高*宽	Optional Default: 10*15

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 1800 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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