Tampere University of Technology

TUTCRIS Research Portal

Publications

  1. A1 Journal article-refereed
  2. Revealing differences in gene network inference algorithms on the network level by ensemble methods

    Altay, G. & Emmert-Streib, F., 25 May 2010, In : Bioinformatics. 26, 14, p. 1738-1744 7 p., btq259.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Unite and conquer: Univariate and multivariate approaches for finding differentially expressed gene sets

    Glazko, G. V. & Emmert-Streib, F., Sep 2009, In : Bioinformatics. 25, 18, p. 2348-2354 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. A comparative analysis of multidimensional features of objects resembling sets of graphs

    Dehmer, M., Emmert-Streib, F. & Gesell, T., 15 Feb 2008, In : Applied Mathematics and Computation. 196, 1, p. 221-235 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Structural similarity of directed universal hierarchical graphs: A low computational complexity approach

    Dehmer, M. & Emmert-Streib, F., 1 Dec 2007, In : Applied Mathematics and Computation. 194, 1, p. 7-20 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Information theoretic measures of UHG graphs with low computational complexity

    Emmert-Streib, F. & Dehmer, M., 15 Jul 2007, In : Applied Mathematics and Computation. 190, 2, p. 1783-1794 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Comparing large graphs efficiently by margins of feature vectors

    Dehmer, M. & Emmert-Streib, F., 15 May 2007, In : Applied Mathematics and Computation. 188, 2, p. 1699-1710 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Topological mappings between graphs, trees and generalized trees

    Emmert-Streib, F. & Dehmer, M., 15 Mar 2007, In : Applied Mathematics and Computation. 186, 2, p. 1326-1333 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. A similarity measure for graphs with low computational complexity

    Dehmer, M., Emmert-Streib, F. & Kilian, J., 1 Nov 2006, In : Applied Mathematics and Computation. 182, 1, p. 447-459 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Algorithmic computation of knot polynomials of secondary structure elements of proteins

    Emmert-Streib, F., 1 Oct 2006, In : Journal of Computational Biology. 13, 8, p. 1503-1512 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. A2 Review article in a scientific journal
  12. Published

    Machine learning: How it can help nanocomputing

    Uusitalo, M. A., Peltonen, J. & Ryhänen, T., Aug 2011, In : Journal of Computational and Theoretical Nanoscience. 8, 8, p. 1347-1363 17 p.

    Research output: Contribution to journalReview ArticleScientificpeer-review