To identify genes associated with CRC risk at both the expression and splicing level, we used two multi-tissue TWAS methods: S-MultiXcan and JTI. For S-MultiXcan, we imputed gene expression using ...
Enroll in Thermo Fisher Scientific's Educational Journey! Week One Content (June 22nd, 2026): Straight from Cell Culture to ...
Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data
Spatial transcriptomics (ST) links tissue morphology with gene expression values, opening new avenues for digital pathology. Deep learning models are used to predict gene expression or classify cell ...
A new database covering over 100 different canine tissues can significantly enhance our understanding of hereditary diseases and provide valuable information for health research in both dogs and ...
Researchers at University of Tsukuba have developed "tomoseqr"—a new software tool that enables easy estimation of the three-dimensional (3D) spatial distribution of gene expression. Tomoseqr is free ...
Researchers have developed 'tomoseqr' -- a new software tool that enables easy estimation of the three-dimensional (3D) spatial distribution of gene expression. Tomoseqr is free to use and has been ...
Two-year data showed significant functional improvements in patients treated with delandistrogene moxeparvovec compared to controls, despite initial trial endpoint failure. The treated group exhibited ...
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