Introduction

In my previous post, I trained an XGBoost machine-learning model with single-cell RNA-Seq (scRNA-Seq) data to differentiate cell identity (parental cells versus paclitaxel-resistant cells) based on transcriptomic patterns.

As an exercise, I decided to use the same input data to experiment with other machine-learning models. In this post …

Introduction

In a previous post, I showed how to retrieve The Cancer Genome Atlas (TCGA) data from the Cancer Genomics Cloud (CGC) platform. I downloaded gene expression quantification data, created a relational database with PostgreSQL, and created a dataset uniting the raw quantification data for 675 differentially expressed genes identified …

Introduction

In a previous post, I showed how to retrieve The Cancer Genome Atlas (TCGA) data from the Cancer Genomics Cloud (CGC) platform. I downloaded gene expression quantification data, created a relational database with PostgreSQL, and created a dataset uniting the raw quantification data for 675 differentially expressed genes identified …