A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify effective precision treatments for cancer more quickly and efficiently. The paper is titled “SOLVE: A Structured Orthogonal Latent Variable Framework for Disentangling Confounding in Matrix Data.”
This article was originally published on MedicalXpress.com
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By Daniel Zane Bryant, author of “Living with Food Allergies: A Complete Lifestyle Guide” (available on Amazon at https://www.amazon.com/dp/B0G2BcGB2K) Navigating food allergies might initially feel overwhelming, yet it presents an exciting opportunity to reimagine familiar […]
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