Welcome to this collection of blogs, designed primarily to help students simplify challenging interdisciplinary topics. The posts are categorized into five sections β€” Statistics & Machine Learning πŸ”΄, Simulated Evolution 🟒, Programming πŸ”΅, Systems Medicine 🟀, and Epidemiological Modelling 🟑. I have tried to include clear explanations and, where applicable, hands-on coding examples with accessible code. Your feedback and suggestions are greatly valued, so feel free to share your thoughts. Thank you for visiting!

Note: For an optimal reading experience, larger screens are recommended.

πŸ”΅Introduction to R Graphics - From Basic to High-Quality Plots

πŸ”΅The First Course on R – Foundations and Data Structures

🟒 The Founder Effect Simulation

πŸ”΄Understanding Data Dredging (p-hacking) in Multiple Comparison Tests

πŸ”΄A Dynamic Decision Tree for Choosing the Proper Statistical Test

🟒Understanding the Roles of Nucleic Acid Substitution Models in Molecular Evolution

🟒 When Science Hits a High Note: Craft a Tune From Thy Protein Sequence

πŸ”΅Parallel Programming in Biological Data: The R vs Python Showdown

🟀A Guided Introduction to Systems Medicine - The Insulin-Glucose Circuit

🟒3D Model of DNA Double Helix from X-ray Diffraction Data

πŸ”΄Bringing Order to Chaos: An Introduction to Cluster Algorithms in Biology

πŸ”΄A Gentle Introduction to Neural Network & Deep Learning

🟒Simulating the Red Queen Hypothesis in the Context of Bacteria-Phage Evolutionary Arms Race

πŸ”΅A Dive into Dynamic Programming Algorithms in Biology: Needleman-Wunsch and Smith-Waterman

πŸ”΄Introduction to Probability Algorithms in Biology - Maximum Likelihood Estimation and Bay's Theorem

πŸ”΄From Raw to Refined: Essential Data Transformation Techniques in Biology

πŸ”΄The Overfitting Dilemma: Finding Balance in Statistical Insights

πŸ”΄Simplifying Complexity: A Step-by-Step Guide to Common Dimensionality Reduction Methods in Biology

πŸ”΅ Test Your Skills: A Data Wrangling Knowledge Assessment

πŸ”΄DecipheringΒ  Normalization in RNA-Seq

🟑Did Lockdowns Truly Help During COVID-19? A Mathematical Dive into the Pandemic Response