K Boucher

Summary

Affiliation: University of Utah
Country: USA

Publications

  1. pmc PAM50 breast cancer subtyping by RT-qPCR and concordance with standard clinical molecular markers
    Roy R L Bastien
    The ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, USA
    BMC Med Genomics 5:44. 2012
  2. pmc Characterization of uncertainty in the classification of multivariate assays: application to PAM50 centroid-based genomic predictors for breast cancer treatment plans
    Mark Tw Ebbert
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    J Clin Bioinforma 1:37. 2011
  3. ncbi request reprint A stochastic model of temporally regulated generation of oligodendrocytes in cell culture
    K Boucher
    Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City 84108, USA
    Math Biosci 159:47-78. 1999
  4. ncbi request reprint An alternative stochastic model of generation of oligodendrocytes in cell culture
    K Boucher
    Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City 84112, USA
    J Math Biol 43:22-36. 2001
  5. pmc Quantitative insight into proliferation and differentiation of oligodendrocyte type 2 astrocyte progenitor cells in vitro
    A Y Yakovlev
    Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, 546 Chipeta Way, Suite 1100, Salt Lake City, UT 84108, USA
    Proc Natl Acad Sci U S A 95:14164-7. 1998
  6. ncbi request reprint Modeling insight into spontaneous regression of tumors
    A Yakovlev
    Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City 84108, USA
    Math Biosci 155:45-60. 1999
  7. pmc Reasons for declining computerized insulin protocol recommendations: application of a framework
    K Sward
    College of Nursing, University of Utah, 10 South 2000 East, Salt Lake City, UT 84112, USA
    J Biomed Inform 41:488-97. 2008
  8. ncbi request reprint Variable selection and pattern recognition with gene expression data generated by the microarray technology
    A Szabo
    Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112 5550, USA
    Math Biosci 176:71-98. 2002

Collaborators

  • M Mayer-Proschel
  • Mark D Noble
  • H R Warner
  • A H Morris
  • D Sorenson
  • Aniko Szabo
  • Roy R L Bastien
  • Inge J Stijleman
  • Miguel Martin
  • Rosalia Caballero
  • Philip S Bernard
  • Eva Carrasco
  • Mark Tw Ebbert
  • K Sward
  • Emilio Alba
  • Bradley Lyons
  • Manuel Ruiz-Borrego
  • Mark T W Ebbert
  • Jose Palacios
  • Charles M Perou
  • Carole A Davis
  • Miguel Ángel Seguí
  • Mark Astill
  • Antonio Anton
  • Blanca Munarriz
  • Leslie Rowe
  • Matthew J Ellis
  • Lee Barley
  • Aleix Prat
  • Christiane Fauron
  • David Wall
  • Daniel Anderson
  • Alvaro Rodriguez-Lescure
  • Isabel Alvarez
  • Ignacio Aranda
  • Lisa Pappas
  • Torsten O Nielsen
  • Patricia Miller
  • Tracy Dowell
  • Julio C Facelli
  • Roy Rl Bastien
  • J Hess
  • A Yakovlev
  • D Levin
  • L Baumann
  • M Tidswell
  • N Thomas
  • F Fajardo
  • M Meade
  • E Hirshberg
  • C Bogue
  • S Anand
  • V Faustino
  • J Lacroix
  • A Guerguerian
  • H Wiedemann
  • V Srinivasan
  • G Larsen
  • C Bliss
  • A Howard
  • G B Bernard
  • J Truwit
  • G Rubenfeld
  • P Luckett
  • P Cox
  • M Marshall
  • A L Graciano
  • R Brower
  • L Blumberg
  • S Bozeman
  • R D Hite
  • C Oldmixon
  • V Nadkarni
  • D Schoenfeld
  • L Kozikowski
  • D Willson
  • L Hutchins
  • C Bayer Roth
  • A Randolph
  • M Ball
  • H Zheng
  • J Steingrub
  • I Lazar
  • B T Thompson
  • N Patel
  • L Jefferson
  • G Cannizzaro
  • C Newth
  • J Orme
  • S Heidemann

Detail Information

Publications8

  1. pmc PAM50 breast cancer subtyping by RT-qPCR and concordance with standard clinical molecular markers
    Roy R L Bastien
    The ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, USA
    BMC Med Genomics 5:44. 2012
    ..Discrepancies between these methods may lead to different treatment decisions...
  2. pmc Characterization of uncertainty in the classification of multivariate assays: application to PAM50 centroid-based genomic predictors for breast cancer treatment plans
    Mark Tw Ebbert
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    J Clin Bioinforma 1:37. 2011
    ..abstract:..
  3. ncbi request reprint A stochastic model of temporally regulated generation of oligodendrocytes in cell culture
    K Boucher
    Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City 84108, USA
    Math Biosci 159:47-78. 1999
    ..Our analysis suggests that the effect of thyroid hormone is twofold: it reduces the mean duration of the mitotic cycle for progenitor cells, and it increases the probability of their transformation into oligodendrocytes...
  4. ncbi request reprint An alternative stochastic model of generation of oligodendrocytes in cell culture
    K Boucher
    Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City 84112, USA
    J Math Biol 43:22-36. 2001
    ....
  5. pmc Quantitative insight into proliferation and differentiation of oligodendrocyte type 2 astrocyte progenitor cells in vitro
    A Y Yakovlev
    Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, 546 Chipeta Way, Suite 1100, Salt Lake City, UT 84108, USA
    Proc Natl Acad Sci U S A 95:14164-7. 1998
    ..Those O-2A cells that have undergone the critical divisions then may differentiate into an oligodendrocyte in each of the subsequent mitotic cycles with a certain probability, thereby exhibiting the asymmetric type of differentiation...
  6. ncbi request reprint Modeling insight into spontaneous regression of tumors
    A Yakovlev
    Huntsman Cancer Institute, Department of Oncological Sciences, University of Utah, Salt Lake City 84108, USA
    Math Biosci 155:45-60. 1999
    ..Given the event of nonextinction, the distribution of tumor size is asymptotically exponential. The limiting conditional distribution of tumor size is in good agreement with epidemiologic data on advanced lung cancer...
  7. pmc Reasons for declining computerized insulin protocol recommendations: application of a framework
    K Sward
    College of Nursing, University of Utah, 10 South 2000 East, Salt Lake City, UT 84112, USA
    J Biomed Inform 41:488-97. 2008
    ..Applying the framework exposed limitations of our data sources, and suggested ways to address those limitations; and facilitated our analyses and interpretations...
  8. ncbi request reprint Variable selection and pattern recognition with gene expression data generated by the microarray technology
    A Szabo
    Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112 5550, USA
    Math Biosci 176:71-98. 2002
    ....