Mehdi Pirooznia

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. ncbi Genomic signatures and gene networking: challenges and promises
    Ke Zhang
    Department of Pathology, Bioinformatics Core, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58201, USA
    BMC Genomics 12:I1. 2011
  2. ncbi SynaptomeDB: an ontology-based knowledgebase for synaptic genes
    Mehdi Pirooznia
    Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, MD, USA
    Bioinformatics 28:897-9. 2012
  3. ncbi Generation, analysis and functional annotation of expressed sequence tags from the sheepshead minnow (Cyprinodon variegatus)
    Mehdi Pirooznia
    School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
    BMC Genomics 11:S4. 2010
  4. ncbi Meta-analysis of genetic association studies on bipolar disorder
    Fayaz Seifuddin
    Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland 21287, USA
    Am J Med Genet B Neuropsychiatr Genet 159:508-18. 2012
  5. ncbi SVAw - a web-based application tool for automated surrogate variable analysis of gene expression studies
    Mehdi Pirooznia
    Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
    Source Code Biol Med 8:8. 2013
  6. ncbi A hybrid likelihood model for sequence-based disease association studies
    Yun Ching Chen
    Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, USA
    PLoS Genet 9:e1003224. 2013
  7. ncbi Data mining approaches for genome-wide association of mood disorders
    Mehdi Pirooznia
    School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
    Psychiatr Genet 22:55-61. 2012

Collaborators

Detail Information

Publications7

  1. ncbi Genomic signatures and gene networking: challenges and promises
    Ke Zhang
    Department of Pathology, Bioinformatics Core, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58201, USA
    BMC Genomics 12:I1. 2011
    ..We hope this supplement presents the current computational and statistical challenges faced in genomics studies, and shows the enormous promises and opportunities in the genomic future...
  2. ncbi SynaptomeDB: an ontology-based knowledgebase for synaptic genes
    Mehdi Pirooznia
    Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, MD, USA
    Bioinformatics 28:897-9. 2012
    ..SynaptomeDB integrates various and complex data sources for synaptic genes and proteins...
  3. ncbi Generation, analysis and functional annotation of expressed sequence tags from the sheepshead minnow (Cyprinodon variegatus)
    Mehdi Pirooznia
    School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
    BMC Genomics 11:S4. 2010
    ....
  4. ncbi Meta-analysis of genetic association studies on bipolar disorder
    Fayaz Seifuddin
    Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland 21287, USA
    Am J Med Genet B Neuropsychiatr Genet 159:508-18. 2012
    ..The results of this meta-analysis and from other on-going genomic experiments in BP are available online at Metamoodics (http://metamoodics.igm.jhmi.edu)...
  5. ncbi SVAw - a web-based application tool for automated surrogate variable analysis of gene expression studies
    Mehdi Pirooznia
    Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
    Source Code Biol Med 8:8. 2013
    ..Using SVA increases the biological accuracy and reproducibility of gene expression studies by identifying these sources of heterogeneity and correctly accounting for them in the analysis...
  6. ncbi A hybrid likelihood model for sequence-based disease association studies
    Yun Ching Chen
    Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, USA
    PLoS Genet 9:e1003224. 2013
    ..05, of which one MAPK signaling pathway (KEGG) reaches trend-level significance after correcting for multiple testing...
  7. ncbi Data mining approaches for genome-wide association of mood disorders
    Mehdi Pirooznia
    School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
    Psychiatr Genet 22:55-61. 2012
    ..Data mining methods are available that may be applied to analyze the high dimensional data generated by GWAS of complex psychiatric disorders...