Discovering semantic features in the literature: a foundation for building functional associations1 Biocomputing Unit, Centro Nacional de Biotecnologia – CSIC, Madrid, Spain 2 School of Computing, Queen's University, Kingston, Ontario, Canada 3 Dpto. Arquitectura de Computadores, Universidad Complutense de Madrid, Madrid, Spain
BMC Bioinformatics 2006, 7:41doi:10.1186/1471-2105-7-41
Additional filesAdditional File 1: Cophenetic correlation coefficient. This file contains three graphs showing the cophenetic correlation coefficient for the SGD8, Reelin and random datasets. Format: PDF Size: 577KB Download file This file can be viewed with: Adobe Acrobat Reader Additional File 2: Clustering results. This file contains two spreadsheets with the results of the clustering performed on the semantic profiles (also included after z-score normalization) obtained for the SGD8 and Reelin datasets. Format: XLS Size: 1.1MB Download file This file can be viewed with: Microsoft Excel Viewer Additional File 4: Reelin dataset analysis by SVD and NMF. Descriptive comparison of the results obtained by clustering of gene profiles obtained by SVD and NMF algorithms. Includes hierarchical trees. Format: PDF Size: 24KB Download file This file can be viewed with: Adobe Acrobat Reader Additional File 3: Example representation of literature profiles. This file contains the representation of a literature profile for gene PET54 as obtained in the vector space model, a clustered space and the semantic space. Format: PDF Size: 31KB Download file This file can be viewed with: Adobe Acrobat Reader |




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