HTPmod: HT Data Visualization

1. Load Data

Example data

Upload your data

Example Data

Choose a File:

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Separator

Comma Semicolon Tab

2. Data Summary

All input data, with size of:

Numeric data matrix for visualization, with size of:

3. Customization

Data preprocessing:

Center

Scale

Save as Table .txt

Number of components

In the PCA plot:

Show component scores

Show factor loadings

Azimuthal direction

Colatitude direction

PCA: Principal Component Analysis

PCA

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Save as png Save as pdf Explained variance .txt Loading score .txt

Figure legend preview

Dimension

Azimuthal direction

Colatitude direction

t-SNE: t-Distributed Stochastic Neighbor Embedding

t-SNE

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Dimension

Distance measure

Azimuthal direction

Colatitude direction

MDS: Multidimensional Scaling

MDS

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Dimensions of the grid

x-dimension

y-dimension

Topology of the grid

Hexagonal

Rectangular

SOM: Self-Organizing Map

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SOM + PCA

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Number of clusters

K-MC: K-Means Clustering

Statistics

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Correlation method

Color scheme for heatmap

Shape

Correlation method

Color scheme for heatmap

Shape

Correlation of observations

Correlation of features

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Heatmap of the whole dataset

Color scheme for heatmap

Cluster rows/observations

#clusters of rows

Cluster columns/features

#clusters of columns

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Data for drawing

Note: graph will be colored according the color customization set on the left panel

Type of plot

Plot

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