Researchers use deep learning to 'denoise' nanopore data

Scientists from the Institute of Scientific and Industrial Research at Osaka University have used machine-learning methods to enhance the signal-to-noise ratio in data collected when tiny spheres are passed through microscopic nanopores cut into silicon substrates. This work may lead to much more sensitive data collection when sequencing DNA or detecting small concentrations of pathogens.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3uR9UYa

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