Computer scientists developing more effective method for identifying disease biomarkers
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Researchers in the Cheriton School of Computer Science are incorporating a deep learning network into a more accurate method for identifying disease biomarkers.
The new method achieves up to 98 percent detection of peptide features in a dataset. That means scientists and medical practitioners have a greater chance of discovering possible diseases through tissue sample analysis.