The Evolution of Spatial Omics Technologies Introduces A Novel Avenue for Lung Cancer Research [0.03%]
空间组学技术在肺癌研究中的应用及展望
Yue He,Zifan Li,Wenxiang Wang et al.
Yue He et al.
Lung cancer is a highly malignant disease, posing a significant threat to global health. The presence of tumor heterogeneity results in substantial variations in prognosis and therapeutic responses among patients. Advances in bulk RNA seque...
SAFAARI: Contrastive Adversarial Open-set Domain Adaptation for Single-cell Integration & Annotation [0.03%]
基于对抗的开集域自适应单细胞整合与注释模型-SAFAARI
Fatemeh Aminzadeh,Jun Wu,Jingrui He et al.
Fatemeh Aminzadeh et al.
Single-cell sequencing technologies have enabled in-depth analysis of cellular heterogeneity across tissues and disease contexts. However, as datasets increase in size and complexity, characterizing diverse cellular populations, integrating...
FAST: Scalable Factor Analysis for Spatial Dimension Reduction of Multi-section Spatial Transcriptomics [0.03%]
FAST：用于多区域空间转录组学的空间维度约简的可扩展因子分析
Wei Liu,Xiao Zhang,Xiaoran Chai et al.
Wei Liu et al.
Biological techniques for spatially resolved transcriptomics (SRT) have advanced rapidly in both throughput and spatial resolution. This progress calls for efficient and scalable spatial dimension reduction methods capable of handling large...
Xiaochen Wang,Jinjing Luo,Xiaoqiang Lang et al.
Xiaochen Wang et al.
Pseudouridine (Ψ) is a C5 glycoside isomer of uridine, formed by breaking the N1 glycosyl bond and undergoing a 180° base rotation. This modification stands as one of the most widespread post-transcriptional alterations in RNA and is univ...
ClusterGVis: An Advanced Visualization and Clustering Tool for Gene Expression Analysis [0.03%]
ClusterGVis：用于基因表达分析的高级可视化和聚类工具
Jun Zhang,Hongyuan Li,Wenjun Tao et al.
Jun Zhang et al.
Single-cell RNA sequencing as well as bulk RNA sequencing data provide valuable insights into both physiological and pathological processes. The effective interpretation of these data relies on the availability of sophisticated analysis and...
CancerSEA-X: A Single-cell Resource for Tumor Microenvironment Cell States Across over 30 Cancer Types [0.03%]
癌症单细胞资源：跨越30多种癌症类型的肿瘤微环境细胞状态
Lantian Deng,Wei Liu,Jinyuan Xu et al.
Lantian Deng et al.
Single-cell studies have significantly advanced our understanding of the transcriptional and functional heterogeneity in cancers. Recent studies have identified distinct states of cancer, immune, and stromal cells in the tumor microenvironm...
4D Chromatin Dynamics Resolved During Early Random X Chromosome Inactivation [0.03%]
早期随机X染色体失活过程中解析的4D染色质动态变化
Xiaowen Liu,Hao Xie,Zhiyuan Liu et al.
Xiaowen Liu et al.
X chromosome inactivation is a process that compensates X-linked gene dosage in mammalian female cells. The silencing of a randomly selected chromosome is accompanied by dramatic three-dimensional reorganization across the entire chromosome...
Yang Xiao,Sai Ma
Yang Xiao
Spatial Chromatin Accessibility Analysis of Intratumor Heterogeneity in Breast Cancer [0.03%]
乳腺癌瘤内异质性的空间染色体可及性分析
Yingying Qian,Miao Zhu,Chongyang Ren et al.
Yingying Qian et al.
Intratumoral heterogeneity (ITH) is a major driver of mortality in breast cancer (BC) patients and a critical factor in the variable therapeutic outcomes observed in BC treatment. Understanding the mechanisms underlying ITH is essential for...
Generalizable Single-cell Multimodal Data Integration with Self-supervised Learning [0.03%]
基于自监督学习的通用单细胞多模态数据整合方法
Jinhui Shi,Shuofeng Hu,Runyan Liu et al.
Jinhui Shi et al.
Recent breakthroughs in single-cell multi-omics technologies have enabled simultaneous measurement of diverse cellular modalities, offering unprecedented biological insights. However, integrating such multimodal data faces dual challenges: ...