In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full ...

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality ...

This project analyzes data from a mining flotation process using Python. The goal is to understand how key process variables—such as pH, air flow, column level, and concentrate quality—interact and ...

Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...

sourmash is a tool for biological sequence analysis and comparisons. sourmash compare and sourmash plot produce basic distance matrix plots that are useful for comparing and visualizing the ...

Matplotlib is a versatile 2D plotting library that provides an array of visualization options. Whether it's line plots, scatter plots, bar plots, or even 3D plots, Matplotlib has you covered. Its ...

Explanation: NumPy is the fundamental package for scientific computing with Python. It provides support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate ...

Flow cytometry (FCM) can investigate dozens of parameters from millions of cells and hundreds of specimens in a short time and at a reasonable cost, but the amount of data that is generated is ...

Reduced-dimension or spatial in situ scatter plots are widely employed in bioinformatics papers analyzing single-cell data to present phenomena or cell-conditions of interest in cell groups. When ...

1 Department of Communication Science and Engineering, Nelson Mandela Institution of Science and Technology, Arusha, Tanzania. 2 School for Information Sciences, Center for Information and Systems, ...