Larissa Stanberry

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. ncbi request reprint Cluster analysis of fMRI data using dendrogram sharpening
    Larissa Stanberry
    Department of Radiology, University of Washington, Seattle, Washington, USA
    Hum Brain Mapp 20:201-19. 2003
  2. ncbi request reprint Low-frequency signal changes reflect differences in functional connectivity between good readers and dyslexics during continuous phoneme mapping
    Larissa I Stanberry
    Department of Statistics, University of Washington, Seattle, WA 98195, USA
    Magn Reson Imaging 24:217-29. 2006
  3. ncbi request reprint Functional connectivity mapping using the ferromagnetic Potts spin model
    Larissa Stanberry
    Department of Statistics, University of Washington, Seattle, Washington 98195 4322, USA
    Hum Brain Mapp 29:422-40. 2008
  4. pmc Beyond protein expression, MOPED goes multi-omics
    Elizabeth Montague
    Bioinformatics and High throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children s Research Institute, Seattle, WA, USA 98101 High Throughput Analysis Core, Seattle Children s Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children s, Seattle, WA, USA 98101 Data Enabled Life Sciences Alliance DELSA Global, Seattle, WA, USA 98101
    Nucleic Acids Res 43:D1145-51. 2015
  5. pmc The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders
    Roger Higdon
    1 Bioinformatics and High Throughput Analysis Laboratory, Seattle Children s Research Institute, Seattle, Washington
    OMICS 19:197-208. 2015
  6. pmc Integrative analysis of longitudinal metabolomics data from a personal multi-omics profile
    Larissa Stanberry
    Bioinformatics and High throughput Analysis Laboratory, and High throughput Analysis Core, Seattle Children s Research Institute, Seattle, 98101, USA
    Metabolites 3:741-60. 2013
  7. pmc MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data
    Elizabeth Montague
    1 Bioinformatics and High Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children s Research Institute, Seattle, Washington
    OMICS 18:335-43. 2014
  8. pmc Differential expression analysis for pathways
    Winston A Haynes
    Bioinformatics and High throughput Analysis Laboratory, Seattle Children s Research Institute, Seattle, Washington, USA
    PLoS Comput Biol 9:e1002967. 2013

Collaborators

Detail Information

Publications8

  1. ncbi request reprint Cluster analysis of fMRI data using dendrogram sharpening
    Larissa Stanberry
    Department of Radiology, University of Washington, Seattle, Washington, USA
    Hum Brain Mapp 20:201-19. 2003
    ..91). Furthermore, the dependence of the clustering results on the sharpening parameters is investigated and recommendations on the appropriate choice of these variables are offered. Hum. Brain Mapping 20:201-219, 2003...
  2. ncbi request reprint Low-frequency signal changes reflect differences in functional connectivity between good readers and dyslexics during continuous phoneme mapping
    Larissa I Stanberry
    Department of Statistics, University of Washington, Seattle, WA 98195, USA
    Magn Reson Imaging 24:217-29. 2006
    ..The methodological, theoretical and clinical significance of the findings for advancing fMRI research and knowledge of dyslexia are discussed...
  3. ncbi request reprint Functional connectivity mapping using the ferromagnetic Potts spin model
    Larissa Stanberry
    Department of Statistics, University of Washington, Seattle, Washington 98195 4322, USA
    Hum Brain Mapp 29:422-40. 2008
    ....
  4. pmc Beyond protein expression, MOPED goes multi-omics
    Elizabeth Montague
    Bioinformatics and High throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children s Research Institute, Seattle, WA, USA 98101 High Throughput Analysis Core, Seattle Children s Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children s, Seattle, WA, USA 98101 Data Enabled Life Sciences Alliance DELSA Global, Seattle, WA, USA 98101
    Nucleic Acids Res 43:D1145-51. 2015
    ..The system is enhanced with visualizations for comparing across different data types. In the future MOPED will expand the number of organisms, increase integration with pathways and provide connections to disease...
  5. pmc The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders
    Roger Higdon
    1 Bioinformatics and High Throughput Analysis Laboratory, Seattle Children s Research Institute, Seattle, Washington
    OMICS 19:197-208. 2015
    ..This in turn will empower and accelerate precision medicine and personalized healthcare. ..
  6. pmc Integrative analysis of longitudinal metabolomics data from a personal multi-omics profile
    Larissa Stanberry
    Bioinformatics and High throughput Analysis Laboratory, and High throughput Analysis Core, Seattle Children s Research Institute, Seattle, 98101, USA
    Metabolites 3:741-60. 2013
    ..The iPOP experimental design, data acquisition and analysis issues are discussed within the broader context of personal profiling. ..
  7. pmc MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data
    Elizabeth Montague
    1 Bioinformatics and High Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children s Research Institute, Seattle, Washington
    OMICS 18:335-43. 2014
    ..MOPED as a multi-omics data resource is a pivotal public database, interdisciplinary knowledge resource, and platform for multi-omics understanding...
  8. pmc Differential expression analysis for pathways
    Winston A Haynes
    Bioinformatics and High throughput Analysis Laboratory, Seattle Children s Research Institute, Seattle, Washington, USA
    PLoS Comput Biol 9:e1002967. 2013
    ..On the interferon study, DEAP guided focus towards a four protein path within the 26 protein Notch signalling pathway...