Trond Bø

Summary

Affiliation: University of Bergen
Country: Norway

Publications

  1. pmc Genes of cell-cell interactions, chemotherapy detoxification and apoptosis are induced during chemotherapy of acute myeloid leukemia
    Anne Margrete Øyan
    Institute of Medicine, Hematology Section, University of Bergen, Bergen, Norway
    BMC Cancer 9:77. 2009
  2. pmc Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data
    Junbai Wang
    Department of Tumor Biology, The Norwegian Radium Hospital, N0310 Oslo, Norway
    BMC Bioinformatics 4:60. 2003
  3. ncbi request reprint A fast top-down method for constructing reliable radiation hybrid frameworks
    Trond H Bø
    Department of Informatics, University of Bergen, HIB, N5020 Bergen, Norway
    Bioinformatics 18:11-8. 2002
  4. pmc New feature subset selection procedures for classification of expression profiles
    Trond Bø
    Department of Informatics, University of Bergen, N 5020 Bergen, Norway
    Genome Biol 3:RESEARCH0017. 2002
  5. pmc LSimpute: accurate estimation of missing values in microarray data with least squares methods
    Trond Hellem Bø
    Department of Informatics, BCCS, University of Bergen, HIB, N5020 Bergen, Norway
    Nucleic Acids Res 32:e34. 2004

Collaborators

  • Inge Jonassen
  • Anne Margrete Øyan
  • Junbai Wang
  • Bjørn Tore Gjertsen
  • Nina Anensen
  • Laila Stordrange
  • Karl Henning Kalland
  • Øystein Bruserud
  • Eivind Hovig
  • Ola Myklebost

Detail Information

Publications5

  1. pmc Genes of cell-cell interactions, chemotherapy detoxification and apoptosis are induced during chemotherapy of acute myeloid leukemia
    Anne Margrete Øyan
    Institute of Medicine, Hematology Section, University of Bergen, Bergen, Norway
    BMC Cancer 9:77. 2009
    ..The molecular changes in vivo in acute myeloid leukemia cells early after start of conventional genotoxic chemotherapy are incompletely understood, and it is not known if early molecular modulations reflect clinical response...
  2. pmc Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data
    Junbai Wang
    Department of Tumor Biology, The Norwegian Radium Hospital, N0310 Oslo, Norway
    BMC Bioinformatics 4:60. 2003
    ..Then, the prediction of marker genes is accomplished by either manual feature selection (visualizing the weighted/mean SOM component plane) or automatic feature selection (by pair-wise Fisher's linear discriminant)...
  3. ncbi request reprint A fast top-down method for constructing reliable radiation hybrid frameworks
    Trond H Bø
    Department of Informatics, University of Bergen, HIB, N5020 Bergen, Norway
    Bioinformatics 18:11-8. 2002
    ..Automatically constructing RHM frameworks is a computationally challenging problem...
  4. pmc New feature subset selection procedures for classification of expression profiles
    Trond Bø
    Department of Informatics, University of Bergen, N 5020 Bergen, Norway
    Genome Biol 3:RESEARCH0017. 2002
    ..To assess the ability to generalize class differences, we studied how well the gene sets we select are suited for learning a classifier...
  5. pmc LSimpute: accurate estimation of missing values in microarray data with least squares methods
    Trond Hellem Bø
    Department of Informatics, BCCS, University of Bergen, HIB, N5020 Bergen, Norway
    Nucleic Acids Res 32:e34. 2004
    ..The results indicate that on average, the estimates from our best performing LSimpute method are at least as accurate as those from the best EMimpute algorithm...