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Statistical and Machine Learning Approaches for Network Analysis
book

Statistical and Machine Learning Approaches for Network Analysis

by Matthias Dehmer, Subhash C. Basak
August 2012
Intermediate to advanced content levelIntermediate to advanced
344 pages
10h 30m
English
Wiley
Content preview from Statistical and Machine Learning Approaches for Network Analysis

References

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3. U. Alon, An Introduction to Systems Biology: Design Principles of Biological Circuits, Chapman & Hall/CRC, Florida, 2006.

4. S.N. Dorogovtsev, J.F.F. Mendes, Evolution of Networks: From Biological Nets to the Internet and WWW, Oxford University Press, Oxford, 2003.

5. Z.N. Oltvai, A.-L. Barabási, Life's complexity pyramid, Science 298, 763 (2002).

6. B.Ø. Palsson, Systems Biology: Properties of Reconstructed Networks, Cambridge University Press, New York, 2006.

7. M. Kanehisa, S. Goto, M. Hattori, K.F. Aoki-Kinoshita, M. Itoh, S. Kawashima, T. Katayama, M. Araki, M. Hirakawa, From genomics to chemical genomics: new developments in KEGG, Nucleic Acids Res. 34, D354 (2006).

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10. R. Albert, A.-L. Barabási, Statistical mechanics of complex networks, Rev. Mod. Phys. 74, 47 (2002).

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12. A.-L. Barabási, R. Albert, H. Jeong, Mean-field theory for scale-free random networks, Physica A 272, 173 (1999).

13. E. Ravasz, A.L. Somera, D.A. Mongru, Z.N. Oltvai, A.-L. Barabási, Hierarchical organization of modularity ...

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Publisher Resources

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