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Since then, more sophisticated models have been proposed for expression quantification in RNA-Seq.
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At first, our method was proposed for facial expression recognition.
A new kernel-based supervised manifold learning algorithm, called DKLLE, is proposed for facial expression recognition.
In this paper, a novel algorithm is proposed for facial expression cloning.
A novel method based on fusion of texture and shape information is proposed for facial expression and Facial Action Unit (FAU) recognition from video sequences.
Given the nonlinear manifold structure of facial images, a new kernel-based supervised manifold learning algorithm based on locally linear embedding (LLE), called discriminant kernel locally linear embedding (DKLLE), is proposed for facial expression recognition.
Based on the experimental observations, two empirical equations were proposed for parametric expression of the Forchheimer's nonlinear coefficient, one as a power function of hydraulic aperture and the other dependent on both hydraulic aperture and peak asperity of the fracture surface.
Within the last few years, multiple approaches for gene set analysis have been proposed for both expression and SNP data.
29 During the last two decades, multiple statistical approaches have been proposed for differential expression testing.
A similar hypothesis might be proposed for the expression of FIM.
Two algorithms are proposed for CBG expression search: forward search and backward search.
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