Developing a machine learning model to explore DNA methylation

A Northwestern Medicine study has detailed the development of a machine learning model to predict DNA methylation status in cell-free DNA by its fragmentation patterns, according to findings published in Nature Communications.

Scientists discover first nitrogen-fixing organelle

Modern biology textbooks assert that only bacteria can take nitrogen from the atmosphere and convert it into a form that is usable for life. Plants that fix nitrogen, such as legumes, do so by harboring symbiotic bacteria ...

New study reveals novel approach for combating 'resting' bacteria

Most disease-causing bacteria are known for their speed: In mere minutes, they can double their population, quickly making a person sick. But just as dangerous as this rapid growth can be a bacterium's resting state, which ...

A new tool for tracing the family trees of cells

EPFL researchers have developed GEMLI, a pioneering tool that could democratize and vastly improve how we study the journey of cells from their embryonic state through to specialized roles in the body, as well as their changes ...

Machine learning model sheds new light on muscle development

Life sciences have never been more digital. To learn more about life processes, biologists are collecting massive quantities of data that computer scientists analyze by means of sophisticated computational models that they ...

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