Predicting pathogenicity of missense variants with weakly supervised regression
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DOI: 10.1002/humu.23826
Abstract: Quickly growing genetic variation data of unknown clinical significance demand computational methods that can reliably predict clinical phenotypes and deeply unravel molecular mechanisms. On the platform enabled by the Critical Assessment of Genome Interpretation (CAGI),… read more here.
Keywords: supervised regression; regression; weakly supervised; pathogenicity ... See more keywords
Semi-supervised regression with adaptive graph learning for EEG-based emotion recognition
Sign Up to like & getrecommendations! Published in 2023 at "Mathematical Biosciences and Engineering"
DOI: 10.3934/mbe.2023505
Abstract: Electroencephalogram (EEG) signals are widely used in the field of emotion recognition since it is resistant to camouflage and contains abundant physiological information. However, EEG signals are non-stationary and have low signal-noise-ratio, making it more… read more here.
Keywords: semi supervised; emotion recognition; emotion; supervised regression ... See more keywords