Gregory Riddick

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. pmc Predicting in vitro drug sensitivity using Random Forests
    Gregory Riddick
    Neuro Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
    Bioinformatics 27:220-4. 2011
  2. pmc Age-specific signatures of glioblastoma at the genomic, genetic, and epigenetic levels
    Serdar Bozdag
    Neuro Oncology Branch, National Cancer Institute, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
    PLoS ONE 8:e62982. 2013
  3. ncbi request reprint Integration and analysis of genome-scale data from gliomas
    Gregory Riddick
    The Neuro Oncology Branch, National Cancer Institute, National Institute of Neurological Disease and Stroke, National Institutes of Health, The Bloch Building, 9030 Old Georgetown Road, Bethesda, MD 20892, USA
    Nat Rev Neurol 7:439-50. 2011
  4. pmc Histone demethylase Jumonji D3 (JMJD3) as a tumor suppressor by regulating p53 protein nuclear stabilization
    Chibawanye I Ene
    Neuro Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
    PLoS ONE 7:e51407. 2012
  5. pmc Comparing cDNA and oligonucleotide array data: concordance of gene expression across platforms for the NCI-60 cancer cells
    Jae K Lee
    Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892 8322, USA
    Genome Biol 4:R82. 2003

Collaborators

Detail Information

Publications5

  1. pmc Predicting in vitro drug sensitivity using Random Forests
    Gregory Riddick
    Neuro Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
    Bioinformatics 27:220-4. 2011
    ..We improve on existing techniques by developing a novel multistep algorithm that builds regression models of drug response using Random Forest, an ensemble approach based on classification and regression trees (CART)...
  2. pmc Age-specific signatures of glioblastoma at the genomic, genetic, and epigenetic levels
    Serdar Bozdag
    Neuro Oncology Branch, National Cancer Institute, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
    PLoS ONE 8:e62982. 2013
    ....
  3. ncbi request reprint Integration and analysis of genome-scale data from gliomas
    Gregory Riddick
    The Neuro Oncology Branch, National Cancer Institute, National Institute of Neurological Disease and Stroke, National Institutes of Health, The Bloch Building, 9030 Old Georgetown Road, Bethesda, MD 20892, USA
    Nat Rev Neurol 7:439-50. 2011
    ....
  4. pmc Histone demethylase Jumonji D3 (JMJD3) as a tumor suppressor by regulating p53 protein nuclear stabilization
    Chibawanye I Ene
    Neuro Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
    PLoS ONE 7:e51407. 2012
    ..Our findings indicate that deregulation of JMJD3 may contribute to gliomagenesis via inhibition of the p53 pathway resulting in a block to terminal differentiation...
  5. pmc Comparing cDNA and oligonucleotide array data: concordance of gene expression across platforms for the NCI-60 cancer cells
    Jae K Lee
    Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892 8322, USA
    Genome Biol 4:R82. 2003
    ..Global concordance is parameterized by a 'correlation of correlations' coefficient...