Spatial transcriptomics (ST) is a newly emerging field that integrates high-resolution imaging
and transcriptomic data to enable the high-throughput analysis of the spatial localization of …

Overlaying omics data onto spatial biological dimensions has been a promising technology
to provide high-resolution insights into the interactome and cellular heterogeneity relative to …

Profiling spatial variations of cellular composition and transcriptomic characteristics is
important for understanding the physiology and pathology of tissues. Spatial transcriptomics …

Background Spatial resolved transcriptomics (SRT) encompasses a rapidly developing set
of technologies that enable the measurement of gene expression in tissue while retaining …

The nervous system is one of the most complicated and enigmatic systems within the animal
kingdom. Recently, the emergence and development of spatial transcriptomics (ST) and …

With the fast-growing and evolving omics data, the demand for streamlined and adaptable
tools to handle the bioinformatics analysis continues to grow. In response to this need, we …

In this paper, we proposed a new matrix-based feature selection method that used the
hidden knowledge in the orthogonal features obtained from the two-dimensional principal …

ShinySRT: shareable and interactive visualization of spatially resolved data ShinySRT:
shareable and interactive visualization of spatially resolved data J Genet Genomics. 2024 …