Heatmap

Visualization

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Tool Introduction & Use Cases

Heatmap is primarily used for visualizing gene/sample expression patterns with heatmaps.

Clustering heatmap for gene expression data

Main Use Cases:

  • Display expression patterns of differential genes across different samples
  • Perform unsupervised clustering of samples to assist in identifying subtypes or outliers

Key Features:

  • Hierarchical clustering/row-column scaling
  • Custom color schemes and annotation bars
  • Support for selecting top genes to display

Parameter Details

ParameterMeaning & RecommendationsSettings
Expression Matrix基因表达矩阵(行为基因,列为样本)
Required
Default: None
Group FileExperimental 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
Scale 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.
Required
Default: row
Cluster ColumnsClustering Method: Determines how samples/genes are merged into clusters. Recommendation: Hierarchical clustering (complete/average) is intuitive; k-means suits larger samples with predefined cluster numbers.
Required
Default: yes

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 10 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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