Mass classification of benign and malignant with a new twin support vector machine joint $${l_{2,1}}$$l2,1-norm
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-017-0706-4
Abstract: Breast cancer is the second leading cause of cancer related death for women in the world, and mass is one of the most common kinds of abnormal. A mass can be either benign or malignant,… read more here.
Keywords: machine; joint norm; mass; mass classification ... See more keywords
A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.083
Abstract: It is of urgency to effectively identify differentially expressed genes from RNA-Seq data. In this paper, we proposed a novel method, joint-L2,1-norm-constraint-based semi-supervised feature extraction (L21SFE), to analyze RNA-Seq data. Our scheme was shown as… read more here.
Keywords: joint norm; semi supervised; seq data; norm constraint ... See more keywords