Titlebook: Kernel-based Data Fusion for Machine Learning; Methods and Applicat Shi Yu,Léon-Charles Tranchevent,Yves Moreau Book 2011 Springer Berlin H

amphibian

Conclusion,h described in this book covers a number of topics which are relevant to supervised and unsupervised learning by kernel-based data fusion. The discussion of these topics were distinguished in four different aspects: theory, algorithm, application and software.

跑過(guò)

口訣

GORGE

Cross-Species Candidate Gene Prioritization with MerKator, a few are really associated to the biological process of interest. Since the individual validation of all these candidate genes is often too costly and time consuming, only the most promising genes are experimentally assayed.