Explore how AI-driven multiomics is reshaping drug discovery and personalized medicine development through innovative data ...
Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers study the "conversations" between cells inside the body. The tools, called ...
The stVGP package is developed based on the Python libraries Scanpy, PyTorch and PyG (PyTorch Geometric) framework, and can be run on GPU (recommend) or CPU. Before installing stVGP, please ensure ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.
The liver is a highly multifunctional organ that can perform many metabolic and immunological functions due to a highly complex spatially organised microarchitecture that is disturbed in many liver ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Inferring the cell-type composition of bulk samples can provide biological insight.
This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.
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