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 ...

Background: Osteosarcoma is a highly aggressive bone malignancy characterized by frequent metastasis and therapy resistance. Although mitophagy and pyruvate metabolism are increasingly recognized as ...

The authors provide valuable insights into the candidate upstream transcriptional regulatory factors that control the spatiotemporal expression of selector genes and their targets for GABAergic vs ...

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 ...

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 ...

A. UMAP projection of rV2 lineage cells based on scRNA profiles. B. Pseudotime (VIA) scores shown on the scRNA UMAP projection. C. Expression of marker genes of progenitors and postmitotic precursors ...

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 ...

Abstract: Single-cell RNA sequencing (scRNA-seq) enables researchers to analyze gene expression at single-cell level. One important task in scRNA-seq data analysis is unsupervised clustering, which ...

This is a simplified implementation of UMAP (Uniform Manifold Approximation and Projection), programmed from scratch and applied to GEO scRNA-seq data. A project assignment for BINF6250 (Algorithmic ...