Single-cell RNA sequencing (scRNA-Seq) is a recent technology that allows for the
measurement of the expression of all genes in each individual cell contained in a sample …

Cell states were traditionally defined by how they looked, where they were located, and what
functions they performed. In this post-genomic era, the field is largely focused on a …

Background: Cellular deconvolution of bulk RNA-sequencing (RNA-seq) data using single
cell or nuclei RNA-seq (sc/snRNA-seq) reference data is an important strategy for estimating …

Endometrial decidualization, a prerequisite for successful pregnancies, relies on
transcriptional reprogramming driven by progesterone receptor (PR) and bone …

Abstract Therapeutics Data Commons (tdcommons. ai) is an open science initiative with
unified datasets, AI models, and benchmarks to support research across therapeutic …

Recent advances in high-throughput molecular methods have led to an extraordinary
volume of genomics data. Simultaneously, the progress in the computational implementation …

The melanocortin-4 receptor (MC4R) is a key player in the hypothalamic leptin–
melanocortin pathway that regulates satiety and hunger. MC4R belongs to the G protein …

Recent evidence has highlighted the detrimental effects of fatty acid receptor dysfunction in
the lung, with a major focus on the roles of short-and long-chain fatty acid receptors and …

The lung is a highly complex human organ, harboring over forty different cell types with
specialized functions to facilitate gas exchange and host defense (1). Single-cell omics …

Motivation Single-cell RNA sequencing (scRNAseq) has transformed our ability to explore
biological systems. Nevertheless, proficient expertise is essential for handling and …