Therefore, we propose a supervised method that applies pathway information to summarize similarity statistics to a consensus statistic that is more informative than any of the single measures.
We propose a supervised learning-based method including four steps as shown in Table 1.
In this paper, we propose a supervised learning based approach to generate hypotheses from biomedical literature.
Here we propose a supervised machine learning approach to address these questions.
We propose a supervised distance metric learning method that exploits the structure of a known reference taxonomy to guide the learning process (see Materials and Methods).
Gray et al. [10] proposed a supervised classification method based on kinetic filtering (KF) [11].
Here, we try to improve the classification accuracy of SVM, this is a supervised task, so PLS a supervised method is superior to PCA, an unsupervised method.
On the other hand, Yu proposed a supervised multiscale segmentation method in which every pixel becomes a node, and the likelihood of two nodes belonging together is interpreted by a weight attached to the edge linking these two pixel nodes [25].
Results: We propose a novel supervised inference method to predict unknown drug target interactions, represented as a bipartite graph.
It is a supervised method and users need to predefine the number of clusters.
