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  • Erratum
  • Open Access

Erratum to: Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations

BMC Bioinformatics20089:211

  • Received: 24 April 2008
  • Accepted: 24 April 2008
  • Published:

The original article was published in BMC Bioinformatics 2007 8:S6

The original article we published [1] lacked adequate attribution and credit to a previously published work [2] (which is cited in the text below as reference 3 as it was numbered that in our original article). Thus, we would like to make the following corrections and we would like to apologize to the author group and the readers: (1) Page 2, add the citation to the caption of Table 1: "The genes considered in the data set [3]. The letters 'A', 'C' and 'D' in brackets show the relation with Alzheimer's disease, cancer, and development, respectively." (2) Page 2, amend the first sentence under heading Results and discussion to: "For evaluation of our methods, we used 50 genes related with Alzheimer's disease, cancer, and brain development, which were constructed and defined in [3]." (3) Page 2, remove the Reelin signaling pathway and Alzheimer's disease pathway sections, and insert sentences: "The detailed descriptions of the Reelin signaling pathway and the Alzheimer's disease pathway can be found in [3]. Table 2 and 3 show genes associated with these pathways and the cosine similarities between a core gene for each pathway (RELN for the Reelin signaling pathway, APP for the Alzheimer's disease pathway) and genes in the full space and the reduced dimensional space obtained from NMF."


Authors’ Affiliations

Harvard-Partners Center for Genetics and Genomics, Brigham and Women's Hospital, Boston, MA 02115, USA
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA


  1. Kim H, Park H, Drake BL: Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. BMC Bioinformatics 2007, 8(Suppl 9):S6. 10.1186/1471-2105-8-S9-S6PubMed CentralView ArticlePubMedGoogle Scholar
  2. Homayouri R, Heinrich K, Wei L, Berry MW: Gene clustering by latent semantic indexing of MEDLINE abstracts. Bioinformatics 2005, 21: 104–115. 10.1093/bioinformatics/bth464View ArticleGoogle Scholar


© Kim et al; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.