SC RNAseq

Employment of advanced deep learning methods and traditional approaches to identify key factors in predicting clinical outcomes for severe pneumonia patients using diverse patient data, including single-cell RNAseq and electronic health records from large-scale NIAID-funded study.

Exploring single cell spatial transcriptomics, the study compared 10x Xenium and Nanostring CosMx, using Python and R tools to assess their applicability in the laboratory based on factors such as transcript coverage and specificity as well as ability to preserve biological variation.