Test Questions Previously, we conducted a hands-on teaching of single-cell + spatial transcriptomics using Python. To assess everyone’s learning outcomes, we have provided the following exercises for you to check your understanding of R language. Question 1: Variable Assignment and Types Complete the following operations using Python code: – 1. Assign the variable a to … Read more
Word count: 2301, reading time approximately 12 minutes Hello everyone, this is the Omics Person! In the previous post, we learned how to process the raw FASTQ files generated by sequencers into an analyzable “gene × cell” count matrix. From this article onwards, we will officially enter the exploratory data analysis phase. Before we start … Read more
The peripheral nervous system (PNS) coordinates organ function in health and disease. Most cancers, including pancreatic ductal adenocarcinoma (PDAC), are associated with PNS neurons, leading to a complex tumor microenvironment (TME). However, neuronal cell bodies exist in various PNS ganglia, away from tumor masses. Therefore, neurons innervating cancer or healthy organs have evaded current tissue … Read more
High-throughput sequencing technology is driving the life sciences towards a quantitative paradigm, but the sequencing technologies for antibodies, glycans, and other non-directly measurable molecules face challenges such as complex coupling steps, steric hindrance, and the labor-intensive nature of enzymatic chemical labeling. Aptamers, as nucleic acid molecules that can be sequenced directly, possess high specificity, broad … Read more
Hello everyone, today I would like to share a paper published in 2023 in Microsystems & Nanoengineering, titled “Computer vision meets microfluidics: a label-free method for high-throughput cell analysis”. This study reviews the integration of microfluidic chips with computer vision, which has great potential in the analysis of single-cell imaging data. A key advantage of … Read more