Learning to predict RNA sequence expressions from whole slide images
Deep learning methods are widely applied in digital pathology to address clinical challenges such as…
Browsing: Publications
CRIC-seq – global profiling of in-situ RNA–RNA contacts associated with a specific RNA-binding protein
A research team led by Prof. XUE Yuanchao from the Institute of Biophysics of the Chinese Academy…
Novel machine-learning algorithm creates atlas of cancer with potential as universal diagnostic platform
In the first broad comparison of pediatric and adult cancer, researchers at The Hospital for…
Long noncoding RNA profiling may be effective for stratification in pediatric AML
From Hematology Advisor by Jonathan Goodman A single-assay system that incorporates long noncoding RNA expression…
SiT – spatial isoform transcriptomics
In situ capturing technologies add tissue context to gene expression data, with the potential of…
Analysis of single-cell rna-seq data
As single-cell RNA sequencing experiments continue to advance scientific discoveries across biological disciplines, an increasing…
AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas
Spatial transcriptomics can be used to capture cellular spatial organization and has facilitated new insights…
Spatial epigenome–transcriptome co-profiling of mammalian tissues
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling…
A protocol for single nucleus RNA-seq from frozen skeletal muscle
Single-cell technologies are a method of choice to obtain vast amounts of cell-specific transcriptional information…
Single-nucleus transcriptomics reveals new understanding of how androgen therapy affects breast tissue
Insights from the study of transgender men undergoing androgen therapy may help scientists learn how…