A new study has succeeded in mapping, on a global scale, the fungal network that supports plant life and helps regulate our ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

The largest digital camera ever built is starting to capture images of unseen corners of the universe. The Vera C. Rubin ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

Abstract: Dimensionality reduction is used in microarray data analysis to enhance prediction quality, reduce computing time, and construct more robust models. In addition, the algorithm learning ...

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 ...

Abstract: The paper presents an original filter approach for effective feature selection in microarray data characterized by a large number of input variables and a few samples. The approach is based ...

The goal of this analysis is to: Identify differentially expressed genes (DEGs) between PD patients and controls Perform gene set enrichment analysis (GSEA) Infer cell-type proportions using ...

GSEApy is a Python/Rust implementation for GSEA and wrapper for Enrichr. GSEApy can be used for RNA-seq, ChIP-seq, Microarray data. It can be used for convenient GO enrichment and to produce ...

Background: Microarray technology has brought significant advancements to high-throughput analysis, particularly in the comprehensive study of biomolecular interactions involving proteins, peptides, ...