Cells are the fundamental units of biological systems and exhibit unique development
trajectories and molecular features. Our exploration of how the genomes orchestrate the …

Neurodegenerative diseases affect millions of people worldwide and there are currently no
cures. Two types of common neurodegenerative diseases are Alzheimer's (AD) and …

The count table, a numeric matrix of genes× cells, is the basic input data structure in the
analysis of single-cell RNA-sequencing data. A common preprocessing step is to adjust the …

Single-cell genomics analysis requires normalization of feature counts that stabilizes
variance while accounting for variable cell sequencing depth. We discuss some of the trade …

With the development of single‐cell RNA sequencing technology (scRNA‐seq), we have the
ability to study biological questions at the level of the individual cell transcriptome …

Plants are complex systems hierarchically organized and composed of various cell types. To
understand the molecular underpinnings of complex plant systems, single-cell RNA …

Normalization of single cell RNA-seq data remains a challenging task. The performance of
different methods can vary greatly between datasets when unwanted factors and biology are …

Recent advances in spatially resolved transcriptomics technologies enable both the
measurement of genome-wide gene expression profiles and their mapping to spatial …

Simple Summary Spatial transcriptomics is a technique of measuring gene expression with
spatial resolution on a tissue slide, which is especially useful in cancer research. This …

In an era of Biology where modern imaging and sequencing technologies allow to study
almost any biological process at molecular levels, it is now possible to study the content …