Multi-view Text Mining for Disease Gene Prioritization and Clustering-Reference-Cited by-同舟云学术

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Multi-view Text Mining for Disease Gene Prioritization and Clustering

Published:2011 Issue: Volume: Page:109-144
ISSN:1860-949X
Container-title:Kernel-based Data Fusion for Machine Learning
language:
Short-container-title:

Author:

Yu Shi,Tranchevent Léon-Charles,De Moor Bart,Moreau Yves

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-19406-1_5

Reference66 articles.

1. Adie, E.A., Adams, R.R., Evans, K.L., Porteous, D.J., Pickard, B.S.: SUSPECTS: enabling fast and effective prioritization of positional candidates. Bioinformatics 22, 773–774 (2006)

2. Adie, E.A., Adams, R.R., Evans, K.L., Porteous, D.J., Pickard, B.S.: Speeding disease gene discovery by sequence based candidate prioritization. BMC Bioinformatics 6, 55 (2005)

3. Aerts, S., Lambrechts, D., Maity, S., Van Loo, P., Coessens, B., De Smet, F., Tranchevent, L.-C., De Moor, B., Marynen, P., Hassan, B., Carmeliet, P., Moreau, Y.: Gene prioritization through genomic data fusion. Nature Biotechnology 24, 537–544 (2006)

4. Asur, S., Parthasarathy, S., Ucar, D.: An ensemble framework for clustering protein-protein interaction network. Bioinformatics 23, i29–i40 (2007)

5. Ayad, H.G., Kamel, M.S.: Cumulative voting consensus method for partitions with a variable number of clusters. IEEE Trans. PAMI 30, 160–173 (2008)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating Multiview and Multitask Learning Frameworks for Predicting Drug-Disease Associations;Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2016-10-02

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