August 2012
Intermediate to advanced
344 pages
10h 30m
English
book
Statistical and Machine Learning Approaches for Network Analysis
by Matthias Dehmer, Subhash C. Basak
Content preview from Statistical and Machine Learning Approaches for Network AnalysisBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
References
1. Y. Huang, Apolipoprotein E and Alzheimer disease, Neurology 66, S79–S85 (2006).
2. Alzheimer's Association website (http://www.alz.org/braintour/healthy_vs_alzheimers.asp).
3. K. Blennow, M.J. de Leon, H. Zetterberg, Alzheimer's disease, Lancet 368, 387–403 (2006).
4. K. Bettens, K. Sleegers, C. Van Broeckhoven, Current status on Alzheimer disease molecular genetics: from past, to present, to future. Hum. Mol. Genet. 19, R4–R11 (2010).
5. M. Citron, Alzheimer's disease: strategies for disease modification. Nat. Rev. Drug Discov. 9, 387–398 (2010).
6. A.L. Barabasi, N. Gulbahce, J. Loscalzo, Network medicine: a network-based approach to human disease. Nat. Rev. Genet. 12, 56–68 (2011).
7. X. Wang, E. Dalkic, M. Wu, C. Chan, Gene module level analysis: identification to networks and dynamics. Curr. Opin. Biotechnol. 19, 482–491 (2008).
8. J. Lim, T. Hao, C. Shaw, A.J. Patel, G. Szabo, et al., A protein–protein interaction network for human inherited ataxias and disorders of Purkinje cell degeneration. Cell 125, 801–814 (2006).
9. M.A. Pujana, J.D. Han, L.M. Starita, K.N. Stevens, M. Tewari, et al., Network modeling links breast cancer susceptibility and centrosome dysfunction. Nat. Genet. 39, 1338–1349 (2007).
10. J. Ladha, S. Donakonda, S. Agrawal, B. Thota, M.R. Srividya, et al., Glioblastoma-specific protein interaction network identifies PP1A and CSK21 as connecting molecules between cell cycle-associated genes. Cancer Res. 70, 6437–6447 (2010).
11. V.M. Perreau, ...