Biclustering algorithms represent a key methodological advance in analysing gene expression data, enabling simultaneous clustering of both genes and experimental conditions. This dual clustering ...

Energy deficiencies and inflammation may cause warming-related mortality in Pacific cod larvae.     A new study used gene ...

The introduction of real-time quantitative PCR (qPCR) in the early 1990s opened the door for quantitative gene expression analysis. Still, qPCR depends on standard curves, allowing only relative ...

An extraction-free kit enables gene expression analysis directly from hepatocyte lysates, delivering results in 75 minutes with sensitivity comparable to RNA purification.

Using genomic and transcriptional data has greatly improved the understanding of multiple aspects of human physiology. A new paper in PNAS reports on molecular-level associations of co-occurring ...

A new analysis of gene expression in blood samples suggests that specific biological signs of Parkinson’s disease are detectable years before physical symptoms appear. These molecular signatures, ...

Cyclin-dependent kinase (CDK)4/6 inhibitors are approved for the treatment of breast cancer, and they have more recently been used in patients with well ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene regulation networks with applications in cancer survival analysis. The tool, ...

New genetics research reshapes dyslexia understanding. Find out more about how brain networks influence reading difficulties ...

Psoriasis is a common inflammatory skin disease linked to several long-term health conditions, such as heart disease, arthritis and type 2 diabetes, and has a substantial impact on sufferers' quality ...

Triclustering algorithms offer a sophisticated approach to analysing gene expression data by simultaneously grouping genes, experimental conditions, and temporal points. These multidimensional methods ...