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PhefluxTools is a comprehensive Python library that offers a wide range of functions and utilities to simplify common computational tasks. It provides a collection of powerful tools for data manipulation, file handling, statistical analysis, visualization, and integration with computational biology.

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PhefluxTools

PhefluxTools is a comprehensive Python library that offers a wide range of functions and utilities to simplify common computational tasks. It provides a collection of powerful tools for data manipulation, file handling, statistical analysis, visualization, and integration with computational biology.

Key Features

  • Data normalization functions for scaling and standardizing data.
  • File operations for reading, writing, and manipulating files of various formats.
  • Statistical analysis functions, including correlation analysis and hypothesis testing.
  • Plotting utilities for creating informative visualizations, including scatter plots, bar charts, and line plots.
  • Integration with computational biology tools and formats, such as SBML (Systems Biology Markup Language).
  • Well-documented API with clear usage examples and comprehensive documentation.
  • Actively maintained and regularly updated with new features and improvements.

Installation

You can install FunctionUtils using pip: pip install PhefluxTools

Usage

Here's a simple example demonstrating how to use PhefluxTools for data normalization:

import PhefluxTools as pt

data = [1, 2, 3, 4, 5]
normalized_data = pt.normalize(data)

print(normalized_data)

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PhefluxTools is a comprehensive Python library that offers a wide range of functions and utilities to simplify common computational tasks. It provides a collection of powerful tools for data manipulation, file handling, statistical analysis, visualization, and integration with computational biology.

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