Clustering single-cell RNA sequencing data via iterative smoothing and self-supervised discriminative embedding
J **e, S Ruan, M Tu, Z Yuan, J Hu, H Li, S Li - Oncogene, 2024 - nature.com
Single-cell transcriptome sequencing (scRNA-seq) is a high-throughput technique used to
study gene expression at the single-cell level. Clustering analysis is a commonly used …
study gene expression at the single-cell level. Clustering analysis is a commonly used …
Combination of mangiferin and T0901317 targeting autophagy promotes cholesterol efflux from macrophage foam cell in atherosclerosis
Q Chen, S Wang, R Bao, D Wang, Y Wu, Y Zhang… - Chinese Medicine, 2024 - Springer
Background The synthetic liver X receptor ligand (LXR) T0901317 (T0) has been reported to
attenuate atherosclerosis (AS) without hyperglyceridemia due to innovative drug …
attenuate atherosclerosis (AS) without hyperglyceridemia due to innovative drug …
scAnnoX: an R package integrating multiple public tools for single-cell annotation
X Huang, R Liu, S Yang, X Chen, H Li - PeerJ, 2024 - peerj.com
Background Single-cell annotation plays a crucial role in the analysis of single-cell
genomics data. Despite the existence of numerous single-cell annotation algorithms, a …
genomics data. Despite the existence of numerous single-cell annotation algorithms, a …
AI-Enhanced Blood Cell Recognition and Analysis: Advancing Traditional Microscopy with the Web-Based Platform IKOSA
M Campos-Medina, A Blumer, P Kraus-Füreder… - Journal of Molecular …, 2024 - mdpi.com
Microscopy of stained blood smears is still a ubiquitous technique in pathology. It is often
used in addition to automated electronic counters or flow cytometers to evaluate leukocytes …
used in addition to automated electronic counters or flow cytometers to evaluate leukocytes …