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BioMed Research International
Volume 2015, Article ID 573956, 11 pages
Research Article

Low-Rank and Sparse Matrix Decomposition for Genetic Interaction Data

1Center for Quantitative Biology, Peking University, Beijing 100871, China
2Institute of Computing Technology, Chinese Academy of Science, Beijing 100190, China
3School of Mathematical Sciences, Peking University, Beijing 100871, China
4Center for Statistical Sciences, Peking University, Beijing 100871, China

Received 8 January 2015; Accepted 13 March 2015

Academic Editor: Junwen Wang

Copyright © 2015 Yishu Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary data 1 gives the results of sparse S-scores, which are all within modules. Gene pairs with these sparse S-scores are co-functional within gene modules. In this table, column A and B are gene pairs names. Column C are gene pairs belonging cluster numbers, which are from the clustering results. Column D are the gene enriched functional sets, by matching to GO datasets.

  1. Supplementary Materials
  2. Supplementary Materials