F Markowetz

Summary

Affiliation: Max Planck Institute for Molecular Genetics
Country: Germany

Publications

  1. ncbi Molecular diagnosis. Classification, model selection and performance evaluation
    F Markowetz
    Max Planck Institute for Molecular Genetics, Computational Diagnostics Group, Ihnestrasse 63 73, 14195 Berlin, Germany
    Methods Inf Med 44:438-43. 2005
  2. ncbi Non-transcriptional pathway features reconstructed from secondary effects of RNA interference
    Florian Markowetz
    Department of Computational Molecular Biology, Computational Diagnostics Group, Max Planck Institute for Molecular Genetics Ihnestrasse 63 73, 14195 Berlin, Germany
    Bioinformatics 21:4026-32. 2005
  3. ncbi Inferring cellular networks--a review
    Florian Markowetz
    Max Planck Institute for Molecular Genetics, Ihnestrasse 63 73, 14195 Berlin, Germany
    BMC Bioinformatics 8:S5. 2007
  4. ncbi Nested effects models for high-dimensional phenotyping screens
    Florian Markowetz
    Lewis Sigler Institute for Integrative Genomics and Department of Computer Science, Princeton University, Princeton, NJ, 08544, USA
    Bioinformatics 23:i305-12. 2007
  5. ncbi Structure learning in Nested Effects Models
    Achim Tresch
    Johannes Gutenberg University Mainz
    Stat Appl Genet Mol Biol 7:Article9. 2008
  6. ncbi Computational diagnostics with gene expression profiles
    Claudio Lottaz
    Max Planck Institute for Molecular Genetics and Berlin Center for Genome Based Bioinformatics, Berlin, Germany
    Methods Mol Biol 453:281-96. 2008
  7. ncbi Computational identification of cellular networks and pathways
    Florian Markowetz
    Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Mol Biosyst 3:478-82. 2007

Detail Information

Publications7

  1. ncbi Molecular diagnosis. Classification, model selection and performance evaluation
    F Markowetz
    Max Planck Institute for Molecular Genetics, Computational Diagnostics Group, Ihnestrasse 63 73, 14195 Berlin, Germany
    Methods Inf Med 44:438-43. 2005
    ..We discuss supervised classification techniques applied to medical diagnosis based on gene expression profiles. Our focus lies on strategies of adaptive model selection to avoid overfitting in high-dimensional spaces...
  2. ncbi Non-transcriptional pathway features reconstructed from secondary effects of RNA interference
    Florian Markowetz
    Department of Computational Molecular Biology, Computational Diagnostics Group, Max Planck Institute for Molecular Genetics Ihnestrasse 63 73, 14195 Berlin, Germany
    Bioinformatics 21:4026-32. 2005
    ....
  3. ncbi Inferring cellular networks--a review
    Florian Markowetz
    Max Planck Institute for Molecular Genetics, Ihnestrasse 63 73, 14195 Berlin, Germany
    BMC Bioinformatics 8:S5. 2007
    ..The second part discusses probabilistic and graph-based methods for data from experimental interventions and perturbations...
  4. ncbi Nested effects models for high-dimensional phenotyping screens
    Florian Markowetz
    Lewis Sigler Institute for Integrative Genomics and Department of Computer Science, Princeton University, Princeton, NJ, 08544, USA
    Bioinformatics 23:i305-12. 2007
    ....
  5. ncbi Structure learning in Nested Effects Models
    Achim Tresch
    Johannes Gutenberg University Mainz
    Stat Appl Genet Mol Biol 7:Article9. 2008
    ..Third, we show that the new formulation of the likelihood allows efficiency in traversing model space. Fourth, we incorporate prior knowledge and an automated variable selection criterion to decrease the influence of noise in the data...
  6. ncbi Computational diagnostics with gene expression profiles
    Claudio Lottaz
    Max Planck Institute for Molecular Genetics and Berlin Center for Genome Based Bioinformatics, Berlin, Germany
    Methods Mol Biol 453:281-96. 2008
    ..In this process, they encounter a series of obstacles and pitfalls. This chapter reviews fundamental issues from machine learning and recommends a procedure for the computational aspects of a clinical micro-array study...
  7. ncbi Computational identification of cellular networks and pathways
    Florian Markowetz
    Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Mol Biosyst 3:478-82. 2007
    ....