A new review highlights how synthetic biology, AI, and spatial omics could transform ligand-receptor discovery from one-by-one searches into network-level mapping.
Scaling up single-cell sequencing studies allows scientists to uncover rare cell types, better understand disease states, and track cellular changes over time. However, processing, assaying, and ...
Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...
Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...
Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...
At AGBT, customers will present data demonstrating unparalleled scale and sensitivity in research spanning pulmonary fibrosis, prostate cancer, and 3D reconstructions of mouse brains Company expands ...
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