In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold potential as minimally invasive diagnostic biomarkers. This study aimed to ...

When researchers measure the activity of thousands of genes at once, they face a paradox that has shaped computational biology for decades: far too many variables and far too few samples. A single DNA ...

Tissue microarray (TMA) technology has transformed colorectal cancer research by enabling simultaneous analysis of hundreds of tissue samples under uniform experimental conditions. In this approach, ...

A tutorial session held by Dr. Robinson and Dr. Haab [17] provided more details on the technical aspects of the protein microarrays they are developing. In principle, chips can be considered "capture ...

A team of computer engineering researchers in Iran has unveiled a new machine learning framework that combines federated learning, bio-inspired optimization, and deep neural networks to pick out the ...

Phase II study of neoadjuvant FLOT and chemoradiation for trimodality therapy of esophageal/GEJ adenocarcinoma. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers Symposium.

Definition: A microarray is a small, flat substrate carrying an ordered grid of microscopic probe features, each containing a known biological molecule, that is used to measure many molecular targets ...

As illustrated by Dr. Carl Borrebaeck, [4] of Lund University, Sweden, bioarrays may be based on proteins or on affinity reagents. Defined sets of proteins, such as autoantigens, are spotted on ...