Statistical and Machine Learning Approaches for Network Analysis

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, ...