Results 211 to 220 of about 3,996,815 (308)
Department of Applied Mathematics and Statistics Newsletter, December 8, 2025
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
core
The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato +9 more
wiley +1 more source
Systems biology during 20 years of PLoS Computational Biology. [PDF]
Alber M +3 more
europepmc +1 more source
Department of Applied Mathematics and Statistics Newsletter, February 9, 2026
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
core
This study reveals the long‐elusive intracellular dissolution mechanism of carrier‐free nanomedicines. By utilizing peak‐shifted dual‐state emissive FRET nanoprobes (PDFNPs) that undergo a distinct ratiometric fluorescence peak shift upon disassembly, we achieve real‐time, quantitative tracking of dissolution kinetics in live cells.
Farsai Taemaitree +18 more
wiley +1 more source
Dynamic multimodal survival prediction in multiple myeloma integrating gene expression, longitudinal laboratory measurements, and treatment history. [PDF]
Jia S +4 more
europepmc +1 more source
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
Directed transport of fractional‑order asymmetrically coupled particle chains in ratchet potential. [PDF]
Tu Z, Yu T.
europepmc +1 more source
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systems. [PDF]
Ciocanel MV +5 more
europepmc +1 more source

