AI and Omics Research Internship 2025

Welcome to the official repository of the AI and Omics Research Internship (2025).

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Theory Session

1.Introduction to Machine Learning & Linear Regression Lecture
2.Introduction to Logistic Regresiion Model Lecture

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Practical Sessions

Module I: Basics of R Programming R Scripts

1. Class IA: R Program Installation Tutorial
2. Class IB: Introduction to R Tutorial
3. Class IC: R Basic Syntax Tutorial
4. Class 2: Operators in R | Data STructures in R | User Define Functions | for-Loop | Tutorial

Module II: Introduction to Genomics Data Analysis R Scripts

5. Class 3A (Part-I) Finding Microarray Dataset from ArrayExpress | Tutorial
6. Class 3A (Part-II) Finding Microarray Dataset from NCBI-GEO | Tutorial
7. Class 3B Preprocessing and Normalization of Microarray Data in R | Tutorial
8. Class 3C Differential Gene Expression Analysis in R | Tutorial |
9. Class 3D Functional Enrichment Analysis in R| ORA | GSEA | Tutorial

Module III: Introduction to Machine Learning R Scripts

10. Class 2A Data preprocessing for Machine Learning | Tutorial
11. Class 2B Feature Selection with Boruta and RFE in R | Tutorial
12. Class 2C Model Training and Evaluation with RF, SVM & ANN | Tutorial

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