If you use cell2location please cite our paper: Kleshchevnikov, V., Shmatko, A., Dann, E. et al. Cell2location maps fine-grained cell types in spatial transcriptomics ...
Spatial transcriptomics enables the characterization of gene expression within intact tissue architecture, but identifying domains across batches, platforms, or conditions remains challenging due to ...
Next-generation instruments improve rare-cell detection, sterility control, biosafety, and throughput for translational ...
A new study generated one of the most comprehensive spatially resolved transcriptomic maps of cellular communication between ...
The rapid evolution of omic technologies such as spanning genomics, transcriptomics, and proteomics, is reshaping how we ...
The field of cancer genomics is rapidly evolving, driven by advanced technologies that enable detailed characterization of cancer initiation, progression, ...
High-resolution spatial transcriptomics and imaging-based technologies are now generating large-scale, multi-dimensional datasets that are beginning to reshape how we understand tissue organisation, ...
Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including ...