Endothelial cells (ECs) constitute the inner lining of vascular beds in mammals and are
crucial for homeostatic regulation of blood vessel physiology, but also play a key role in …

Single-cell-resolved systems biology methods, including omics-and imaging-based
measurement modalities, generate a wealth of high-dimensional data characterizing the …

In single-cell RNA sequencing (scRNA-seq), doublets form when two cells are encapsulated
into one reaction volume. The existence of doublets, which appear to be—but are not—real …

ANPELA is widely used for quantifying traditional bulk proteomic data. Recently, there is a
clear shift from bulk proteomics to the single‐cell ones (SCP), for which powerful cytometry …

Objectives Although T cells have been implicated in the pathogenesis of systemic sclerosis
(SSc), a comprehensive study of T-cell-mediated immune responses in the affected skin of …

High-throughput single-cell transcriptomic approaches have revolutionized our view of gene
expression at the level of individual cells, providing new insights into their heterogeneity …

RNA-Seq data are utilized for biological applications and decision making for the
classification of genes. A lot of works in recent time are focused on reducing the dimension …

Spatially resolved transcriptomics (SrT) can investigate organ or tissue architecture from the
angle of gene programs that define their molecular complexity. However, computational …

Clustering high-dimensional data, such as images or biological measurements, is a long-
standing problem and has been studied extensively. Recently, Deep Clustering has gained …

The major interest domains of single-cell RNA sequential analysis are identification of
existing and novel types of cells, depiction of cells, cell fate prediction, classification of …