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

Gene expression experiments measure changes in RNA transcript levels to compare how genes are up- or down-regulated across ...

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 ...

Discover how circular RNA technology enhances gene expression by up to 50-fold in eye treatments, surpassing traditional ...

The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...

This article and associated images are based on a poster originally authored by Matthew Chung, William Guesdon, Kai Lawson-McDowall and Matthew Alderdice and presented at ELRIG Drug Discovery 2025 in ...

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 ...

Targeting ACVRL1, dubbed an 'overlooked' gene by researchers, could potentially lead to new treatments for IPF, a study suggests.

Devonian Health Group Inc. ("Devonian" or the "Company") (TSXV: GSD) (OTCQB: DVHGF), a clinical stage corporation focused on ...

Gene expression analysis from the STAM mouse model attributes Thykamine with dose-dependent anti-MASH, anti-inflammatory and anti-fibrosis molecular effects in liver ...