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Machine learning method uncovers hidden patterns in DNA methylation
In a study recently published in Nature Communications, researchers from Berlin, Potsdam, and Jena present a new method for analyzing the epigenome. The machine-learning method identifies differentially methylated DNA regions without sample labels—a prerequisite for many existing
Machine learning methods move self-driving labs closer to materials discovery at scale
Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for chemistry and materials discovery. Scientists know machine learning models can make predictions based on the vast reams of data they are trained on, but can
Complex odors prove easier to map than expected with machine learning
If you want to describe a particular color, you could look to the Pantone color wheel to find its exact hue, saturation and brightness, and how it compares with other colors. But nothing like that has existed for complex odors.