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multivis is a data visualisation package that produces both static and interactive visualisations targeted towards the Omics community.

Project description

<img src=”cimcb_logo.png” alt=”drawing” width=”400”/>

# multivis multivis package containing the necessary tools for the visualisation of correlated data.

## Installation

### Dependencies multivis requires: - Python (>=3.5) - NumPy (>=1.12) - Pandas - Matplotlib - Seaborn - Networkx - SciPy - Scikit-learn - tqdm

### User installation The recommend way to install cimcb_vis and dependencies is to using conda: `console conda install -c brett.chapman multivis ` or pip: `console pip install multivis ` Alternatively, to install directly from github: `console pip install `

### API For further detail on the usage refer to the docstring.

#### multivis - [Edge]( Generates dataframe of edges prior to visualisation. - [Network]( Generates dataframe of edges, with network parameters and a networkx graph prior to visualisation. - [edgeBundle]( Generates necessary Json structure and produces Hierarchical edge bundle plot. - [plotNetwork]( Static spring plot using pygraphviz and networkx. - [forceNetwork]( Interactive force-directed network which inherits data from the networkx graph - [clustermap]( Clustered heatmap with dendrograms. - [polarDendrogram]( Polar dendrogram

#### multivis.utils - [mergeBlocks]( Merges multiply diffent blocks into a single peak table and data table. - [range_scale]( Scales a range of values between user chosen values. - [corrAnalysis]( Correlation analysis with Pearson, Spearman or Kendall’s Tau. - [cluster]( Clusters data using a linkage cluster method. If the data is correlated the correlations are first preprocessed, then clustered, otherwise a distance metric is applied to non-correlated data before clustering.

### License multivis is licensed under the ___ license.

### Authors - Brett Chapman -

### Correspondence Dr. Brett Chapman, Post-doctoral Research Fellow at the Centre for Integrative Metabolomics & Computational Biology at Edith Cowan University. E-mail:

### Citation If you would cite cimcb_vis in a scientific publication, you can use the following: ___

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