Inter-patient tumor heterogeneity refers to transcriptional differences between cancer cells of different patients. Because of their distinct mutational histories, spatial location and interactions ...

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...

The global artificial intelligence (AI) market is expanding at a staggering pace. In 2024, it was valued at $257.68 billion, ...

One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide ...

One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide ...

One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide ...

BOSTON — A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial hypercholesterolemia, according to a new study. Spencer V. Carter ...

PAST COVERAGE: Oregon's Early Learning Division responds after millions spent on unfilled preschool slots Oregon has struggled with severely limited preschool options for over a decade.

Defect engineering requires a fundamental understanding of the nature of spatial disorder and consequent changes in material properties, which is currently lacking. We introduce the cluster-based ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Clustering can be done using various algorithms such as k-means, hierarchical clustering, density-based spatial clustering of applications with noise (DBSCAN) and Gaussian mixture model (GMM) ...