A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis
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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
A Multiple Kernel Learning Model Based on p-Norm
Sign Up to like & getrecommendations! Published in 2018 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2018/1018789
Abstract: By utilizing kernel functions, support vector machines (SVMs) successfully solve the linearly inseparable problems. Subsequently, its applicable areas have been greatly extended. Using multiple kernels (MKs) to improve the SVM classification accuracy has been a… read more here.
Keywords: mkl; based gmkl; norm constraint; norms based ... See more keywords