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Janne Nikkilä: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Janne Sinkkonen, Samuel Kaski, Janne Nikkilä
    Discriminative Clustering: Optimal Contingency Tables by Learning Metrics. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:418-430 [Conf]
  2. Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski
    Associative Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:396-406 [Conf]
  3. Samuel Kaski, Janne Nikkilä, Teuvo Kohonen
    Methods for interpreting a self-organized map in data analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:185-190 [Conf]
  4. Samuel Kaski, Janne Sinkkonen, Janne Nikkilä
    Clustering Gene Expression Data by Mutual Information with Gene Function. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:81-86 [Conf]
  5. Janne Nikkilä, Christophe Roos, Samuel Kaski
    Exploring Dependencies Between Yeast Stress Genes and Their Regulators. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:92-98 [Conf]
  6. Samuel Kaski, Janne Nikkilä, Merja Oja, Jarkko Venna, Petri Törönen, Eero Castrén
    Trustworthiness and metrics in visualizing similarity of gene expression. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2003, v:4, n:, pp:48- [Journal]
  7. Janne Nikkilä, Christophe Roos, Eerika Savia, Samuel Kaski
    Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2005, v:15, n:4, pp:237-246 [Journal]
  8. Janne Nikkilä, Petri Törönen, Samuel Kaski, Jarkko Venna, Eero Castrén, Garry Wong
    Analysis and visualization of gene expression data using Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:953-966 [Journal]
  9. Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos
    Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:203-216 [Journal]

  10. Partial Clustering for Tissue Segmentation in MRI. [Citation Graph (, )][DBLP]

  11. Two-Way Analysis of High-Dimensional Collinear Data. [Citation Graph (, )][DBLP]

  12. Multivariate multi-way analysis of multi-source data. [Citation Graph (, )][DBLP]

  13. Two-way analysis of high-dimensional collinear data. [Citation Graph (, )][DBLP]

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