OmicShare Tools - 基迪奥生信云工具

Hierarchical Cluster Analysis (HCA)

Project ID：

1： Upload a matrix dataset file： *

Select a file Example

Optional parameters：

2： Input the column ID:

enter file
manually enter

Select a file Example

3： Input the row ID:

enter file
manually enter

Select a file Example

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Instructions
Example

Function：
Hierarchical Cluster Analysis (HCA) is a method of cluster analysis which clusters similar data and seeks to build a hierarchy of clusters. Data in the same cluster represent much more similarity than those in different clusters.

Input：

① Matrix dataset file: the first column is gene names and the first row is sample names.

② Column ID: samples names for the hierarchical cluster analysis. We will use all the samples in the uploaded file for HCA if no information here.

③ Row ID: genes names for the hierarchical cluster analysis. We will use all genes in the uploaded file for HCA if no information here.

Parameters：

None.

Output：

A dendrogram in PDF format and PNG format.

Example： Clustering analysis source files

Samples and indexes of input needs analysis (genes)

z13-15
z14-8
yh2

protein-5
POD-10
SOD-5
SOD-10

Output