Abstract: Clustering is a crucial step in single-cell RNA sequencing (scRNA-seq) data analysis, facilitating the discovery of new cell types and the grouping of similar cells. Recently, graph ...
This work is a important resource for hypothesis testing of candidate upstream transcriptional regulatory factors that control the spatiotemporal expression of selector genes and their targets for ...
Background: Acute kidney injury (AKI) is characterized by rapid loss of renal function and is associated with severe clinical outcomes. Understanding the cellular heterogeneity in urine samples during ...
In modern functional genomics, understanding how specific genes control cellular behavior requires both targeted intervention and high-resolution analysis. That’s where Perturb-Seq comes in—a method ...
Systemic sclerosis (SSc) is a rare autoimmune disease that can harden the skin, impair blood flow, and damage internal organs such as the lungs and kidneys. But no two patients experience the disease ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c00731. Comparison of model complexity between scGANSL and other ...
During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written ...
Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has become ubiquitous in publications. While ...
In a recent study published in the journal Nature, researchers in Canada and the United States developed Single-Cell Similarity (SCimilarity), a framework for rapid, interpretable searches of ...
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