A far-reaching study has cast doubt on statistical methods used to identify long-distance signaling networks in plants. The ...

Researchers have developed a simple and cost-effective blood test capable of detecting Parkinson's disease long before symptoms emerge, comparing the current state of diagnosing neurodegenerative ...

The safety and efficacy of lepodisiran, an extended-duration, small interfering RNA targeting hepatic synthesis of lipoprotein(a), are unknown. We randomly assigned participants in a 1:2:2:2:2 ...

William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, 4226 Martin Luther King Boulevard, Houston, Texas 77204, United States ...

Applying machine learning in this way is exceptionally useful to better understand high-dimensional datasets, such as the thousands of genes captured by RNA sequencing, to uncover novel patterns ...

performing RNA sequencing (gene expression analysis) on each section, and superimposing the expression data to reconstruct a 3D gene expression map. However, processing this data requires advanced ...

First Ascent's AI program aims to personalize cancer treatment by using DNA/RNA sequencing and drug sensitivity data. (This story was updated to accurately reflect the most current information.) ...

To overcome these challenges, researchers have integrated genomic sequencing into antimicrobial resistance surveillance. Through whole-genome sequencing, we can analyze all the DNA in a microbial ...

STRING and Cytoscape were used to generate a PPI network diagram for the biological interactions between DEGs identified by the RNA-seq dataset, involving immune and inflammatory functions. The size ...