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Assessment of Hierarchical Clustering Methodologies for Proteomic Data Mining J. Proteome Res. 2007 ... Publication Date (Web): February 7, 2007 ... D...
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Assessment of Hierarchical Clustering Methodologies for Proteomic Data Mining J. Proteome Res. 2007, 6 (1), 358−366. Bruno Meunier,* Emilie Dumas, Isabelle Piec, Daniel Be´chet, Michel He´braud, and Jean-Franc¸ ois Hocquette Page 358. Due to a production error, several zip codes in the affiliation addresses of the authors contained misprints in the version posted on the Web December 14, 2006 (ASAP) and published in the January 5, 2007 issue (Vol. 6, No. 1, pp 353366). The correct affiliation addresses are as follows: UR 1213, Unite´ de Recherches sur les Herbivores, Equipe Croissance et Me´tabolisme du Muscle, INRA de Clermont-Ferrand/Theix, F-63122 Saint-Gene`s Champanelle, France, UR484 Microbiologie, Equipe Qualite´ et Se´curite´ des Aliments (QuaSA), INRA de Clermont-Ferrand/Theix, F-63122 Saint-Gene`s Champanelle, France, Laboratoire d’Immunologie EMI 0351, INSERM, 3 rue des Louvels, F-80036 Amiens, France, UMR 1019, Unite´ de Nutrition Humaine, INRA de Clermont-Ferrand/Theix, F-63122 Saint-Gene`s Champanelle, France, and Plate-forme prote´omique, INRA de Clermont-Ferrand/Theix, F-63122 SaintGene`s Champanelle, France. The electronic version of the paper was corrected and replaced on the Web February 7, 2007. PR078001E 10.1021/pr078001e Published on Web 02/07/2007

10.1021/pr078001e CCC: $37.00

 2007 American Chemical Society

Journal of Proteome Research 2007, 6, 1215

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Published on Web 02/07/2007