Nonlinear independent component analysis is combined with diffusion-map data analysis techniques to detect good observables in high-dimensional dynamic data. These detections are achieved by ...

本研究针对单细胞RNA测序(scRNA-seq)数据高维特性带来的分析挑战，系统比较了PCA、t-SNE、UMAP和扩散映射(Diffusion Maps)四种降维方法在PBMC3k、胰腺和BAT数据集上的表现。研究人员创新性提出轨迹感知嵌入评分(TAES)，首次实现聚类精度与发育轨迹保存能力的联合评估。

Daniel A. Hamstra, Thomas L. Chenevert, Bradford A. Moffat, Timothy D. Johnson, Charles R. Meyer, Suresh K. Mukherji, Douglas J. Quint, Stephen S. Gebarski, Xiaoying ...

A retrospective, multireader review was performed of 82 pelvic MRIs (42 chordomas and 40 chondrosarcomas) between December 2014 and September 2021, split into training (n = 69) and validation (n = 13) ...

Integration of a Cross-Ancestry Polygenic Model With Clinical Risk Factors Improves Breast Cancer Risk Stratification A retrospective, multireader review was performed of 82 pelvic MRIs (42 chordomas ...

A machine-learning tool called diffusion maps has been used to identify topological phase transitions in experimental data. The research was done by teams led by Mordechai Segev and Ronen Talmon at ...