Publications of 2007

200715 publications

1. Phase-specific differential gene expression of peripheral blood mononuclear cells in rapid cycling syndrome

   M Begemann, D Sargin, MJ Rossner, …, F Theis, …, H Ehrenreich

   PharmacopsychiatryDOI
   Topic: Bulk omics and genetics

2. Joint low-rank approximation for extracting non-Gaussian subspaces

   Motoaki Kawanabe, Fabian J. Theis

   Signal ProcessingDOI
   Topic: Component analysis and signal separation

3. How to extract marker genes from microarray data sets

   R. Schachtner, D. Lutter, F. J. Theis, E. W. Lang, G. Schmitz, A. M. Tome, P. Gomez Vilda

   2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyConference paperDOI
   Topic: Component analysis and signal separation

4. Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis

   K. Stadlthanner, D. Lutter, F. J. Theis, E. W. Lang, A. M. Tome, P. Georgieva, C. G. Puntonet

   2007 International Joint Conference on Neural NetworksConference paperDOI
   Topic: Component analysis and signal separation

5. A bilinear algorithm for sparse representations

   Pando Georgiev, Panos Pardalos, Fabian Theis

   Computational Optimization and ApplicationsDOI
   Topic: Component analysis and signal separation

6. Sparse Component Analysis: a New Tool for Data Mining

   Pando Georgiev, Fabian Theis, Andrzej Cichocki, Hovagim Bakardjian

   Springer Optimization and Its ApplicationsBook chapterDOI
   Topic: Component analysis and signal separation

7. Colored Subspace Analysis

   Fabian J. Theis, M. Kawanabe

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Component analysis and signal separation

8. Pivot Selection Strategies in Jacobi Joint Block-Diagonalization

   Cédric Févotte, Fabian J. Theis

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Component analysis and signal separation

9. A Toolbox for Model-Free Analysis of fMRI Data

   P. Gruber, C. Kohler, F. J. Theis

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Imaging

10. Identifiability Conditions and Subspace Clustering in Sparse BSS

    Pando Georgiev, Fabian Theis, Anca Ralescu

    Lecture Notes in Computer ScienceBook chapterDOI
    Topic: Component analysis and signal separation

11. Independent Subspace Analysis Is Unique, Given Irreducibility

    Harold W. Gutch, Fabian J. Theis

    Lecture Notes in Computer ScienceBook chapterDOI
    Topic: Component analysis and signal separation

12. Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays

    R. Schachtner, D. Lutter, F. J. Theis, E. W. Lang, A. M. Tomé, J. M. Gorriz Saez, C. G. Puntonet

    Lecture Notes in Computer ScienceBook chapterDOI
    Topic: Component analysis and signal separation

13. Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints

    Kurt Stadlthanner, Fabian J. Theis, Elmar W. Lang, Ana Maria Tomé, Carlos G. Puntonet

    Lecture Notes in Computer ScienceBook chapterDOI
    Topic: Component analysis and signal separation

14. Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes

    Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar W. Lang, Ana Maria Tomé, Gerd Schmitz

    Lecture Notes in Computer ScienceBook chapterDOI
    Topic: Component analysis and signal separation

15. Statistical Analysis of Sample-Size Effects in ICA

    J. Michael Herrmann, Fabian J. Theis

    Lecture Notes in Computer ScienceBook chapterDOI
    Topic: Component analysis and signal separation