ytabatabaee/Machine-Learning-for-Bioinformatics

My solutions to the assignments and projects of Machine Learning for Bioinformatics Course

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Experimental

This collection provides practical code examples for analyzing various biological and medical datasets. It takes raw healthcare data, like heart disease metrics, cancer gene expression, or drug compound information, and processes it to classify diseases, identify patterns, and predict drug interactions. Researchers, bioinformaticians, and data scientists working in drug discovery or clinical diagnostics can use these examples to understand and apply machine learning techniques.

No commits in the last 6 months.

Use this if you are a bioinformatician or medical researcher looking for concrete, applied examples of machine learning algorithms for tasks like disease diagnosis or drug-target prediction.

Not ideal if you need a polished, ready-to-use software tool for direct integration into a production bio-medical workflow without any development.

bioinformatics drug-discovery medical-diagnostics genomic-analysis clinical-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

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Last pushed

Mar 10, 2023

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