Historically, single-cell gene expression ... Fluidigm's Dynamic Array can be presented as a heat map with individual assays on the x axis and individual cell samples on the y axis.

(G–I) Trajectory analysis of monocytes/macrophages (Wu et al), including color-coded subsets (G), tissue types (H), and gene expression levels (I). (J) Heatmap of GSVA (Gene Set Variation ...

Published in Nature Methods the new methodology integrates image-based spatial transcriptomics, which maps gene expression at single-cell resolution, with computational inference of the mechanical ...

The increasingly popular AI known as ChatGPT works much the same way; while the chatbot generates the next words in a sentence, scGPT predicts the expression levels of genes in a cell. According to ...

In episode one of this podcast, you’ll hear a group of experts discussing base editing and how the technology is helping ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Collaborative research defines a novel approach to understanding how certain proteins called transcription factors determine which genetic programs will drive cell growth and maturation. The method, ...

A new study published in Nature offers the most detailed map to date of how individual cell types in the brain change with age. Scientists analyzed over 1.2 million brain cells from young and aged ...

including the 10X Genomics Chromium X which enables high-throughput single cell gene expression profiling, 10X Genomics Xenium platform, and the Vizgen Merscope system, which provide high-resolution ...

Published in Nature Methods the new methodology integrates image-based spatial transcriptomics, which maps gene expression at single-cell resolution, with computational inference of the mechanical ...