Science of Life

1 Years ago

From viruses to social bots, researchers unearth the structure of attacked networks: A new statistical machine learning framework gleans the invisible and unobservable structure of any attacked network

Researchers have developed a machine learning model of the invisible networks around us including, how viruses interact with proteins and genes in the body. Their work, they believe, can help across the disciplines from the design of future medicines or gene therapies against viruses and diseases like cancer or help understand how to address cyber attacks.



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