Welcome to the “Tutorials” section of Data Science for Bio, where we provide hands-on guides and step-by-step instructions to enhance your skills in data science applications within biosciences. From RNA analysis to data visualization techniques, our tutorials are designed to empower you with practical knowledge and tools to advance your research and projects.
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular biology. Tools like Scanpy, a comprehensive library for single-cell analysis in Python, are crucial for interpreting this data. In this tutorial, we will explore three…
7 mins read Welcome to the world of single-cell RNA sequencing (scRNA-seq) analysis! In this Scanpy tutorial, we will walk you through the basics of using Scanpy, a powerful tool for analyzing scRNA-seq data. Whether you are a…
8 mins read Partial correlation is a statistical technique that helps to understand the relationship between two variables, controlling for the effect of one or more additional variables. R is a popular programming language for statistical computing with…
8 mins read Performing statistical tests is crucial in analyzing data to make informed decisions. One such test is the One Sample T Test, which helps determine if the mean of a single sample is significantly different from…
6 mins read How to calculate standard deviation in R is a fundamental skill for anyone working with data analysis and statistics. R provides powerful tools and functions to compute various statistical measures, including standard deviation, quickly and…
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