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Analysis of somatic mutations in patients with Leukemia. Optimizing Machine and Deep Learning models for multi-classification tasks.

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Ddafnoudis/Somatic-Mutations

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Project: Interpretative analysis of human somatic mutations in Leukemia.

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Introduction

This project is separated in two sections:

The first section provides an analysis of somatic variants using datasets from cBioportal. The Mutation Annotation Format (MAF) file allows us to use tools such as maftools to summarize and visualize the mutations of leukemia.

The second section includes the application of Machine Learning algorithms, optimization and fine-tuning of Multi-Linear Perceptron model for the classification of patients with Leukemia.

Data source

Python version

3.12.3

Requirements (Python)

numpy=1.26.4
pandas=2.1.4
tensorflow=2.16.1
keras=3.3.3
keras-utils=1.0.13
matplotlib=3.8.4
plotly=5.9.0
scikit-learn=1.4.2           
scipy=1.11.4 
lazypredict=0.2.12                
seaborn=0.12.2                  

R version

4.2.3

Requirements (R)

maftools=2.14.0

Install requirements

pip install -r requirements.txt

Note

The extract_files.sh is a sript in bash. Provide the full path of the stored data and the full path of the output directory. The output directory should be the folder with the extracted data files (mutations and clinical sample).

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Analysis of somatic mutations in patients with Leukemia. Optimizing Machine and Deep Learning models for multi-classification tasks.

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