computational biology
PulseAugur coverage of computational biology — every cluster mentioning computational biology across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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VirTues platform advances computational biology and spatial omics
A new computational biology platform called VirTues (Virtual Tissues) has been developed, focusing on advancements in spatial omics and toxicology. This breakthrough aims to enhance the understanding of cell heterogenei…
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Meta AI models power Genesis Mission projects at Lawrence Berkeley Lab
Meta's AI models, including the Segment Anything Model and those built on PyTorch, are being utilized in the initial projects of the Genesis Mission at Lawrence Berkeley National Laboratory. These projects focus on area…
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LLM-powered agents automate biological trajectory analysis, new methods boost prediction accuracy · 6 sources tracked
Researchers have developed SpaCellAgent, a novel LLM-based multi-agent framework designed to automate trajectory inference and analysis in spatial and single-cell transcriptomics. This framework aims to reduce the manua…
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New Gaussian process framework enhances omics data classification
Researchers have developed a new structured Gaussian process classification framework designed to improve the analysis of complex biological data. This method integrates biological pathway information directly into the …
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ScheMatiQ tool uses LLMs to extract structured data from research questions
Researchers have developed ScheMatiQ, an open-source tool designed to streamline the process of extracting structured data from natural-language research questions and large document collections. This system utilizes a …
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AI advances enzyme-reaction retrieval for biology
Two new research papers introduce advanced AI frameworks for enzyme-reaction retrieval in computational biology. The first, TIGER, uses protein-to-text generation to create generalized representations that bridge enzyme…
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MAMMAL AI architecture accelerates biomedical discovery and drug development
Researchers have introduced MAMMAL, a novel multi-modal architecture designed for biomedical discovery. This system integrates molecular data with language models to accelerate research in areas like drug discovery and …