🍃TransProPy Manual

TransProPy is a Python package that is part of the TransPro series under the SuperOmics framework.

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Welcome

TransProPy：A collection of deep learning models that integrate algorithms and various machine learning approaches to extract features (genes) effective for classification and attribute them accordingly.

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Table of Contents

Utils Functions

These functions usually contain various utilities and helper functions, which can sometimes be considered as low-level functionalities.

1.UtilsFunction1

🌿Auc.py🌿AutoNorm.py🌿FeatureRanking.py🌿LoadData.py🌿PrintResults.py🌿FilterSamples.py🌿GeneNames.py🌿GeneToFeatureMapping.py

2.UtilsFunction2

🌿splitdata.py

3.UtilsFunction3.1

4.UtilsFunction3.2.1.1

5.UtilsFunction3.2.1.2

6.UtilsFunction3.2.2.1

7.UtilsFunction3.2.2.2

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Main Functions

🌳MACFCmain.py

Applying the MACFC selection for relevant feature genes in classification.

🪴AutoGluonSelectML.py

Trains a model using AutoGluon on provided data path and returns feature importance and model leaderboard.

🪴AutogluonTimeLimit.py

Trains a model using AutoGluon on provided data path and returns feature importance and model leaderboard.

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Pipeline

🌳Usage of MACFCmain

This module uses the MACFC method to select feature genes relevant to classification and ranks them based on their corresponding weights.

🪴Usage of Autogluon_TimeLimit/Autogluon_SelectML

Performing training and prediction tasks on tabular data using Autogluon.