A novel approach to analyzing single-cell RNA sequencing (scRNA-seq) data has been unveiled by researchers. This method promises to enhance both the precision and speed of data interpretation, ...

Researchers from the University of Eastern Finland and Aalto University have developed a computational framework called ...

Cell clustering can vary wildly depending on algorithm settings like the random seed — even with the exact same data. scICE automatically detects and removes unstable groupings, giving researchers ...

Unsupervised clustering results combining the results of RNA-seq and metabolome analysis. News organizations may use or redistribute this image, with proper attribution, as part of news coverage of ...

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...

HOUSTON, Oct. 15, 2025 (GLOBE NEWSWIRE) -- Baylor Genetics, a clinical diagnostic laboratory at the forefront of genetic testing, today showcased new research in RNA sequencing (RNA-seq) to uncover ...

Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...

An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...

Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab The prognostic model demonstrated ...