A simple and exact Laplacian clustering of complex networking phenomena: Application to gene expression profiles

Kim et al. 10.1073/pnas.0708598105.

Supporting Information

Files in this Data Supplement:

SI Figure 3
SI Figure 4
SI Figure 5
SI Figure 6




Fig. 3. Heat maps for the adjacency matrix for K = 2 (DLBCL and FL/B-CLL) based on 100 essential genes in the lymphoma data.





Fig. 4. Connection networks for samples in the lymphoma data corresponding to K = 2 (DLBCL and FL/B-CLL) with d = 0.43.





Fig. 5. Heat maps for the adjacency matrix for K = 3 (DLBCL, FL, and B-CLL) based on 100 essential genes in the lymphoma data.





Fig. 6. Connection networks for samples in the lymphoma data corresponding to K = 3. (a) d = 0.8. (b) d = 0.85.

This Article

  1. Published online before print March 12, 2008, doi: 10.1073/pnas.0708598105 PNAS March 18, 2008 vol. 105 no. 11 4083-4087
  1. AbstractFree
  2. Figures Only
  3. Full Text
  4. Full Text (PDF)
  5. » Supporting Figures
About Our New Site Design >>
Link: Advanced Search

This Week's Issue

  1. July 22, 2008, 105 (29)
  1. Current Issue
  1. Alert me to new issues of PNAS

Most