In this project, we built a pipeline to classify tumor severity in lung adenocarcinoma patients using RNA-seq gene expression data from TCGA-LUAD (via cBioPortal). Patients with pathological stage ...

Understanding how the immune system interacts with cancer is a hot topic in bioinformatics. In this project, I explore how T-cell receptor (TCR) CDR3 sequences—which capture a patient’s immune land...

Boston House Price Prediction – Linear Regression in Action In this blog, I’d like to talk about the aim and the step-by-step logic behind building a simple model to predict house prices using mul...

The Boston Housing dataset is one of the classic beginner projects in machine learning. I worked on this as part of my learning journey and wanted to share a few key steps that I personally found i...

This project presents a reproducible pipeline for analyzing single-nucleus RNA-seq (snRNA-seq) data from hepatoblastoma tumor, PDX, and normal samples. The workflow includes Seurat-based QC, batch ...