Assigning cell type identity to cells is a basic yet vital step required in single-cell RNA Sequencing data analysis (scRNA-Seq), often done after dimensionality reduction and scRNA-Seq clustering . If you have successfully captured informative clusters, it’s time to face an even harder challenge: identify what cell type or cell […]
Clustering is The Microscope For scRNA-Seq data In previous posts, we have walked you through important steps in analyzing your single-cell RNA sequencing (scRNA-Seq) data, including data visualization and normalization. This time, let’s explore the next logical step in the data analysis pipeline: clustering scRNA-Seq data. What is scRNA-Seq clustering? […]
“How to extract the biology behind this huge matrix of thousands of rows and columns?” Large numbers of data points hold valuable biological stories yet are tricky to graph and analyze. Imagine you had the data for 1000 features and observations, your mind would be full of questions, wondering how […]
Massive amounts of biological data are emerging everyday, waiting to be deciphered. There is almost no way to analyze and visualize them without writing complex code. As a biologist, you may not find it an optimal use of your time to develop such code from scratch. That is why we […]
