Linear discriminant analysis (LDA) is a versatile statistical method for reducing redundant and noisy information from an original sample to its essential features. Particularly, LDA is a supervised ...
Predicting lncRNA and disease associations with graph autoencoder and noise robust gradient boosting
lncRNAs are densely related to many human diseases. Identifying new lncRNA-disease associations (LDAs) conduces to better deciphering mechanisms of diseases, finding new biomarkers, and further ...
Image processing field is becoming more popular for the security purpose in now-a-days. It has many sub fields and face recognition is one from them. Many techniques have been developed for the face ...
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