A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Hexagon Manufacturing Intelligence’s Stationary Metrology Division has released VGSTUDIO MAX 2026.2, introducing a new ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Computational chemists at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences have developed a comprehensive software suite to create accurate models of DNA in biomolecular ...

What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...

Abstract: Many critical electronic design automation (EDA) problems suffer from the curse of dimensionality, i.e., the very fast-scaling computational burden produced by large number of parameters and ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...

2025-08: 📦 Install via pip install physo and conda now available! 2025-07: 🐍 Python 3.12 + latest NumPy/PyTorch/SymPy support. 2024-06: 📚 Full documentation overhaul. 2024-05: 🔬 Class SR: ...

2D-LC provides superior separation and resolution for complex biotherapeutics, addressing challenges like structural variations and post-translational modifications. Coupling 2D-LC with mass ...

Olivera Ciraj Bjelac, IAEA Department of Nuclear Sciences and Applications To support hospitals and specialists around the world in meeting their safety standards requirements, the IAEA has produced a ...