Masato Inoue

Summary

Affiliation: RIKEN Brain Science Institute
Country: Japan

Publications

  1. ncbi request reprint Dynamics of the adaptive natural gradient descent method for soft committee machines
    Masato Inoue
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    Phys Rev E Stat Nonlin Soft Matter Phys 69:056120. 2004
  2. ncbi request reprint Improved parameter estimation for variance-stabilizing transformation of gene-expression microarray data
    Masato Inoue
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    J Bioinform Comput Biol 2:669-79. 2004
  3. ncbi request reprint Gene interaction in DNA microarray data is decomposed by information geometric measure
    Hiroyuki Nakahara
    Lab for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    Bioinformatics 19:1124-31. 2003
  4. doi request reprint Grouping preprocess to accurately extend application of EM algorithm to haplotype inference
    Hiroyuki Shindo
    Department of Electrical Engineering and Bioscience, Waseda University, 3 4 1, Okubo, Tokyo, 1698555, Japan
    J Hum Genet 53:747-56. 2008

Collaborators

Detail Information

Publications4

  1. ncbi request reprint Dynamics of the adaptive natural gradient descent method for soft committee machines
    Masato Inoue
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    Phys Rev E Stat Nonlin Soft Matter Phys 69:056120. 2004
    ..Utilizing this method, we numerically evaluated ANGD efficiency and found that ANGD generally performs as well as NGD. We also revealed the key condition affecting the learning plateau in ANGD...
  2. ncbi request reprint Improved parameter estimation for variance-stabilizing transformation of gene-expression microarray data
    Masato Inoue
    Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    J Bioinform Comput Biol 2:669-79. 2004
    ..Validation of this method with experimental data has suggested that it is superior to the conventional method...
  3. ncbi request reprint Gene interaction in DNA microarray data is decomposed by information geometric measure
    Hiroyuki Nakahara
    Lab for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama 351 0198, Japan
    Bioinformatics 19:1124-31. 2003
    ..Given the vast amount of gene expression data, it is essential to develop a simple and reliable method of investigating the fine structure of gene interaction. We show how an information geometric measure achieves this...
  4. doi request reprint Grouping preprocess to accurately extend application of EM algorithm to haplotype inference
    Hiroyuki Shindo
    Department of Electrical Engineering and Bioscience, Waseda University, 3 4 1, Okubo, Tokyo, 1698555, Japan
    J Hum Genet 53:747-56. 2008
    ..Testing of the proposed method using real data sets revealed that it has a wider range of applications than the EM algorithm...