Analyzing single-cell RNA sequencing (scRNA-seq) data is crucial for understanding complex biological processes and disease development, but identifying individual cell types within these vast ...
University of South Florida postdoctoral researcher Kun Bu develops advanced AI and statistical frameworks to extract clear, ...
In the paper, "Extended SLIC superpixels algorithm for applications to non-imagery geospatial rasters," published in the International Journal of Applied Earth Observation and Geoinformation, ...
Led by Helmholtz Munich, scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called "ehrapy" ...
Systemic lupus erythematosus (SLE) is a complex and potentially life-threatening autoimmune disease. Part of the complexity stems from how it can differ from person to person—giving rise to marked ...
How a plain-language agent lets therapeutic leaders build and refine multi-omics cohorts without writing code.
New platform makes the largest and most fragmented datasets usable by AI, helping teams uncover insights that were previously out of reach and codify institutional knowledge DALLAS, June 10, 2026 ...
New tool classifies cell types from single-cell RNA sequencing data with speed and accuracy, processing 650k cells in 6 minutes while capturing rare states. (Nanowerk News) Analyzing single-cell RNA ...
scODIN (Optimized Detection and Inference of Names in scRNA-seq data) overview. a, Automatic top-level cell type identification to identify major clusters (CD4 T cells, B cells, monocytes) for further ...
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