Then, we introduce a support vector machine method to discriminate the halophilic and non-halophilic proteins, by using a novel Pearson VII universal function based kernel.
Using a novel rank-based test, we compared the performance of different NePhe scoring functions and found that diffusion kernel-based methods generally outperformed others, such as direct neighbor-based methods.
In this work, we employ a novel kernel-based feature extraction method using the substitution matrix representation (SMR).
The regularized MTL approach allows to model the relation between tasks in terms of a novel kernel function that uses a taskcoupling parameter and largely outperforms singletask learning using SVMs.
Motivated by these concerns, in this paper, we propose a novel kernel collaborative representation based classifier (KCRC), and then we use it as a criterion to design a kernel collaborative representation based dictionary learning and discriminant projection method (KDL-DP).
We develop a novel kernel function called Raw for CGH data.
This article has two important contributions: We develop a novel kernel function called Raw for CGH data.
In this study, we propose a novel bidirectional approach using a kernel-based method, kernel CCA (kernel canonical correlation analysis), to analyze the relationship between regulatory sequences and gene expression profiles [ 15- 17].
Here we test how host plant use, sex, and rearing environment affect variation in trophic morphology in this species using traditional multivariate, novel kernel density based and Bayesian morphometric analyses.
We present a novel method, DMRcate, that fits replicated methylation measurements from the Illumina HM450K BeadChip (or 450K array) spatially across the genome using a Gaussian kernel.
