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BioMed Research International
Volume 2017, Article ID 5073427, 14 pages
Research Article

Joint -Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction

1School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, China
2Library of Qufu Normal University, Qufu Normal University, Rizhao 276826, China

Correspondence should be addressed to Ying-Lian Gao; moc.621@oagnailniy

Received 30 December 2016; Revised 12 February 2017; Accepted 1 March 2017; Published 2 April 2017

Academic Editor: Jialiang Yang

Copyright © 2017 Chun-Mei Feng 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

In the supplementary data, "resultALL_AML_data" are the top 500 genes found by our method on the ALLAML dataset, "find_official_name" is the way to find the official name of these genes and "0.5gLPCA" is the experimental code of our method.

  1. Supplementary Material