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, ...
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 ...
This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...
Cell clustering serves as a key task in transcriptomic data analysis, playing a crucial role in cell type annotation, marker gene identification, and the discovery of rare cell populations. With the ...
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 ...
Produced in Partnership with RNA ConnectReviewed by Maria OsipovaOct 10 2025 The UltraMarathonRT ® cDNA Synthesis and Amplification Kit delivers a comprehensive approach for copying polyA+ RNA into ...
Central nervous system tumors accounted for 30 of the 48 revised diagnoses. In 13 cases, RNA-seq reclassified ependymoma as glioma, astroblastoma, or paraganglioma. Seven low-grade gliomas were ...
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