Automated cell type identification is a key computational challenge in single‐cell RNA ‐sequencing
(sc RNA ‐seq) data. To capitalise on the large collection of well‐annotated sc RNA ‐…

Mass spectrometry (MS)-based phosphoproteomics has revolutionized our ability to profile
phosphorylation-based signaling in cells and tissues on a global scale. To infer the action of …

Motivation Multi-modal profiling of single cells represents one of the latest technological
advancements in molecular biology. Among various single-cell multi-modal strategies, cellular …

Inferring gene regulatory networks (GRNs) is a fundamental challenge in biology that aims
to unravel the complex relationships between genes and their regulators. Deciphering these …

The use of single-cell RNA-sequencing (scRNA-seq) allows observation of different cells at
multi-tiered complexity in the same microenvironment. To get insights into cell identity using …

Alzheimer’s disease (AD) is an age-related disease, with loss of integrity of the blood–brain
barrier (BBB) being an early feature. Cellular senescence is one of the reported nine …

Background The identification of genes that vary across spatial domains in tissues and cells
is an essential step for spatial transcriptomics data analysis. Given the critical role it serves …

Insulin's activation of PI3K/Akt signaling, stimulates glucose uptake by enhancing delivery of
GLUT4 to the cell surface. Here we examined the origins of intercellular heterogeneity in …

Characterizing cell identity in complex tissues such as the human retina is essential for studying
its development and disease. While retinal organoids derived from pluripotent stem cells …

Lysine-specific demethylase 1 (LSD1) is well-known for its role in decommissioning
enhancers during mouse embryonic stem cell (ESC) differentiation. Its role in gene promoters …