Sometimes you don’t know what you’re looking for until you find it; and this is especially true when it comes to the huge datasets that can be generated using modern sequencing techniques. Now, researchers from Japan report the development of a statistical framework that can perform unbiased extraction of biologically relevant cell-cell communications from a sea of spatial gene expression data.
Click here for original story, Neighboring cell types influence single-cell gene expression variability
Source: Phys.org