Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

Integrated transcriptomic profiling and explainable machine learning to reveal functional reprogramming and biomarker candidates in pancreatic ductal adenocarcinoma.

Do you want to generate spatial transcriptomics data using your H&E images? We introduce DeepSpot, a novel deep-learning model that predicts spatial transcriptomics from H&E images. DeepSpot employs a ...

Baker Heart and Diabetes Research Institute, Melbourne, Victoria, Australia (R.L.H., P.M.L., A.R.P.). Baker Department of Cardiovascular Research, Translation and ...

Abstract: Spatial transcriptomics (ST) enables high-resolution gene expression profiling within native tissue context, but high dropout rates and data sparsity severely impede downstream biological ...

Abstract: Spatial domain identification, a pivotal task in spatial transcriptomics (ST) research, seeks to elucidate the spatial distribution relationships among diverse cell types and complex tissue ...

This seminar series is developed and sponsored by the UAB Department of Biomedical Informatics and Data Science (DBIDS). It educates individuals on research innovations in biomedical informatics. The ...

In recent years, spatial transcriptomics (ST) has emerged as a groundbreaking technology with the potential to transform and accelerate our understanding of cellular crosstalk. While single-cell ...