Researchers at the John Innes Center and the Earlham Institute are pioneering powerful single-cell visualization techniques ...
This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.
Researchers at the John Innes Centre and the Earlham Institute are pioneering powerful single-cell visualisation techniques ...
Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...
Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...
Researchers used spatial transcriptomics to map gene expression in developing wheat spikes at single-cell resolution.
Race-specific survival prediction models for de novo metastatic breast cancer using machine learning. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
The partners are launching ImmuneScape, a multiomics program using spatial and single-cell sequencing to study immune drivers ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results