Understanding how genes interact is crucial for studying diseases like cancer, but most existing models only capture a small portion of these complex relationships. Researchers at the Beijing Institute of Lifeomics have developed MulNet, a new computational framework that integrates multiple molecular interactions into a detailed network of gene regulation. This approach allows scientists ...
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