Matthias Scholz

Summary

Affiliation: Max Planck Institute of Molecular Plant Physiology
Country: Germany

Publications

  1. ncbi request reprint Metabolite fingerprinting: detecting biological features by independent component analysis
    M Scholz
    Max Planck Institute of Molecular Plant Physiology, 14424 Potsdam, Germany
    Bioinformatics 20:2447-54. 2004
  2. ncbi request reprint Non-linear PCA: a missing data approach
    Matthias Scholz
    Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
    Bioinformatics 21:3887-95. 2005
  3. ncbi request reprint Integrated data analysis for genome-wide research
    Matthias Steinfath
    Institute for Biology and Biochemistry, University Potsdam, c o MPI MP Am M├╝hlenberg 1, D 14476 Potsdam Golm, Germany
    EXS 97:309-29. 2007
  4. pmc Integration of metabolomic and proteomic phenotypes: analysis of data covariance dissects starch and RFO metabolism from low and high temperature compensation response in Arabidopsis thaliana
    Stefanie Wienkoop
    Max Planck Institute of Molecular Plant Physiology, 14424 Potsdam, Germany
    Mol Cell Proteomics 7:1725-36. 2008
  5. ncbi request reprint Visualization and analysis of molecular data
    Matthias Scholz
    Institute of Biochemistry and Biology, University of Potsdam, Germany
    Methods Mol Biol 358:87-104. 2007
  6. ncbi request reprint pcaMethods--a bioconductor package providing PCA methods for incomplete data
    Wolfram Stacklies
    CAS MPG Partner Institute for Comp Biology, Shanghai, China
    Bioinformatics 23:1164-7. 2007
  7. pmc A computational model of gene expression reveals early transcriptional events at the subtelomeric regions of the malaria parasite, Plasmodium falciparum
    Matthias Scholz
    Competence Center for Functional Genomics, Ernst Moritz Arndt University, Friedrich Ludwig Jahn Strasse, D 17487 Greifswald, Germany
    Genome Biol 9:R88. 2008

Detail Information

Publications7

  1. ncbi request reprint Metabolite fingerprinting: detecting biological features by independent component analysis
    M Scholz
    Max Planck Institute of Molecular Plant Physiology, 14424 Potsdam, Germany
    Bioinformatics 20:2447-54. 2004
    ..Due to its independence condition, ICA is more suitable for our questions than PCA. However, ICA has not been developed for a small number of high-dimensional samples, therefore a strategy is needed to overcome this limitation...
  2. ncbi request reprint Non-linear PCA: a missing data approach
    Matthias Scholz
    Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
    Bioinformatics 21:3887-95. 2005
    ..Visualizing and analysing the potential non-linear structure of a dataset is becoming an important task in molecular biology. This is even more challenging when the data have missing values...
  3. ncbi request reprint Integrated data analysis for genome-wide research
    Matthias Steinfath
    Institute for Biology and Biochemistry, University Potsdam, c o MPI MP Am M├╝hlenberg 1, D 14476 Potsdam Golm, Germany
    EXS 97:309-29. 2007
    ..The multiplicity of observations obtained in omics-profiling experiments necessitates the application of multiple testing correction techniques...
  4. pmc Integration of metabolomic and proteomic phenotypes: analysis of data covariance dissects starch and RFO metabolism from low and high temperature compensation response in Arabidopsis thaliana
    Stefanie Wienkoop
    Max Planck Institute of Molecular Plant Physiology, 14424 Potsdam, Germany
    Mol Cell Proteomics 7:1725-36. 2008
    ....
  5. ncbi request reprint Visualization and analysis of molecular data
    Matthias Scholz
    Institute of Biochemistry and Biology, University of Potsdam, Germany
    Methods Mol Biol 358:87-104. 2007
    ..We also discuss normalization techniques and their influence on the result of different analytical techniques...
  6. ncbi request reprint pcaMethods--a bioconductor package providing PCA methods for incomplete data
    Wolfram Stacklies
    CAS MPG Partner Institute for Comp Biology, Shanghai, China
    Bioinformatics 23:1164-7. 2007
    ..The package was mainly developed with microarray and metabolite data sets in mind, but can be applied to any other incomplete data set as well. AVAILABILITY: http://www.bioconductor.org..
  7. pmc A computational model of gene expression reveals early transcriptional events at the subtelomeric regions of the malaria parasite, Plasmodium falciparum
    Matthias Scholz
    Competence Center for Functional Genomics, Ernst Moritz Arndt University, Friedrich Ludwig Jahn Strasse, D 17487 Greifswald, Germany
    Genome Biol 9:R88. 2008
    ..The malaria parasite, Plasmodium falciparum, replicates asexually in a well-defined infection cycle within human erythrocytes (red blood cells). The intra-erythrocytic developmental cycle (IDC) proceeds with a 48 hour periodicity...