Radhakrishnan Nagarajan

Summary

Affiliation: University of Arkansas for Medical Sciences
Country: USA

Publications

  1. pmc Functional relationships between genes associated with differentiation potential of aged myogenic progenitors
    Radhakrishnan Nagarajan
    Division of Biomedical Informatics, University of Arkansas for Medical Sciences Little Rock, AR, USA
    Front Physiol 1:21. 2010
  2. pmc A note on inferring acyclic network structures using Granger causality tests
    Radhakrishnan Nagarajan
    University of Arkansas for Medical Sciences, USA
    Int J Biostat 5:Article 10. 2009
  3. pmc NATbox: a network analysis toolbox in R
    Shweta S Chavan
    UALR UAMS Joint Bioinformatics Program, University of Arkansas at Little Rock, Arkansas, USA
    BMC Bioinformatics 10:S14. 2009
  4. doi request reprint Granger causality analysis of human cell-cycle gene expression profiles
    Radhakrishnan Nagarajan
    University of Arkansas for Medical Sciences, USA
    Stat Appl Genet Mol Biol 9:Article31. 2010
  5. ncbi request reprint Correlation statistics for cDNA microarray image analysis
    Radhakrishnan Nagarajan
    Center on Aging, University of Arkansas for Medical Sciences, 629 Jack Stephens Drive, Room 3105, Little Rock, AR 72205, USA
    IEEE/ACM Trans Comput Biol Bioinform 3:232-8. 2006
  6. pmc Impaired Wnt signaling in embryonal rhabdomyosarcoma cells from p53/c-fos double mutant mice
    Shalini Singh
    Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
    Am J Pathol 177:2055-66. 2010
  7. ncbi request reprint Identifying spots in microarray images
    Radhakrishnan Nagarajan
    Center on Aging, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
    IEEE Trans Nanobioscience 1:78-84. 2002
  8. ncbi request reprint Microarray analysis of differentiation-specific gene expression during 3T3-L1 adipogenesis
    Gregory R Burton
    University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
    Gene 329:167-85. 2004
  9. pmc Phylogenetic proximity revealed by neurodevelopmental event timings
    Radhakrishnan Nagarajan
    Department of Biostatistics, University of Arkansas for Medical Sciences, COPH UAMS, Room 3234, 4301 W Markham, Slot 781, Little Rock, AR 72205 7199, USA
    Neuroinformatics 6:71-9. 2008
  10. pmc ttime: an R package for translating the timing of brain development across mammalian species
    Radhakrishnan Nagarajan
    Division of Biomedical Informatics, University of Arkansas for Medical Sciences, COPH UAMS, Room 3234, 4301W Markham, Slot 781, Little Rock, AR 72205 7199, USA
    Neuroinformatics 8:201-5. 2010

Collaborators

Detail Information

Publications14

  1. pmc Functional relationships between genes associated with differentiation potential of aged myogenic progenitors
    Radhakrishnan Nagarajan
    Division of Biomedical Informatics, University of Arkansas for Medical Sciences Little Rock, AR, USA
    Front Physiol 1:21. 2010
    ..The results presented elucidate the delicate balance between differentiation pathways (i.e., myogenic as well as adipogenic) and possible cross-talk between pathways in AMPD...
  2. pmc A note on inferring acyclic network structures using Granger causality tests
    Radhakrishnan Nagarajan
    University of Arkansas for Medical Sciences, USA
    Int J Biostat 5:Article 10. 2009
    ..While the results are discussed within the framework of transcriptional network, the analytical treatment provided is generic and likely to have significant impact across distinct paradigms...
  3. pmc NATbox: a network analysis toolbox in R
    Shweta S Chavan
    UALR UAMS Joint Bioinformatics Program, University of Arkansas at Little Rock, Arkansas, USA
    BMC Bioinformatics 10:S14. 2009
    ....
  4. doi request reprint Granger causality analysis of human cell-cycle gene expression profiles
    Radhakrishnan Nagarajan
    University of Arkansas for Medical Sciences, USA
    Stat Appl Genet Mol Biol 9:Article31. 2010
    ..VAR parameter estimation is encouraged for better of GC interpretation of the results. Published case studies on GC analysis of the same publicly available cell-cycle gene expression data are reinvestigated for transparency...
  5. ncbi request reprint Correlation statistics for cDNA microarray image analysis
    Radhakrishnan Nagarajan
    Center on Aging, University of Arkansas for Medical Sciences, 629 Jack Stephens Drive, Room 3105, Little Rock, AR 72205, USA
    IEEE/ACM Trans Comput Biol Bioinform 3:232-8. 2006
    ..The present study also raises the intriguing question of whether a change in correlation can be an indicator of differential gene expression...
  6. pmc Impaired Wnt signaling in embryonal rhabdomyosarcoma cells from p53/c-fos double mutant mice
    Shalini Singh
    Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
    Am J Pathol 177:2055-66. 2010
    ..These results suggest that altered AP-1 activity that leads to the down-regulation of the Wnt pathway may contribute to the inhibition of myogenic differentiation and resistance to apoptosis in ERMS cases...
  7. ncbi request reprint Identifying spots in microarray images
    Radhakrishnan Nagarajan
    Center on Aging, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
    IEEE Trans Nanobioscience 1:78-84. 2002
    ..The difference in the median value of the foreground and the background intensity is the desired target intensity of the spot. The results are compared against those obtained using a region growing approach...
  8. ncbi request reprint Microarray analysis of differentiation-specific gene expression during 3T3-L1 adipogenesis
    Gregory R Burton
    University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
    Gene 329:167-85. 2004
    ..Many of these genes may well represent novel adipogenic mediators and markers of adipogenesis...
  9. pmc Phylogenetic proximity revealed by neurodevelopmental event timings
    Radhakrishnan Nagarajan
    Department of Biostatistics, University of Arkansas for Medical Sciences, COPH UAMS, Room 3234, 4301 W Markham, Slot 781, Little Rock, AR 72205 7199, USA
    Neuroinformatics 6:71-9. 2008
    ....
  10. pmc ttime: an R package for translating the timing of brain development across mammalian species
    Radhakrishnan Nagarajan
    Division of Biomedical Informatics, University of Arkansas for Medical Sciences, COPH UAMS, Room 3234, 4301W Markham, Slot 781, Little Rock, AR 72205 7199, USA
    Neuroinformatics 8:201-5. 2010
    ..The R package can be integrated into complex workflows that use the event predictions in their analyses. The package ttime is publicly available and can be downloaded from http://cran.r-project.org/web/packages/ttime/index.html ...
  11. ncbi request reprint Alterations in the TGFbeta signaling pathway in myogenic progenitors with age
    Marjorie L Beggs
    Department of Geriatrics, Reynolds Center on Aging, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
    Aging Cell 3:353-61. 2004
    ..The overexpression of TGFbeta-regulated genes, such as connective tissue growth factor, may play a role in increasing fibrosis in aging muscle...
  12. doi request reprint Inferring functional relationships and causal network structure from gene expression profiles
    Radhakrishnan Nagarajan
    Division of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
    Methods Enzymol 487:133-46. 2011
    ..The results are presented on synthetic networks generated from known vector-autoregressive (VAR) models and those from cell-cycle gene expression profiles that can be modeled as a first-order bivariate VAR...
  13. pmc Cross-species analyses of the cortical GABAergic and subplate neural populations
    Barbara Clancy
    Department of Biology, University of Central Arkansas Conway, AR, USA
    Front Neuroanat 3:20. 2009
    ....
  14. ncbi request reprint Intensity-based segmentation of microarray images
    Radhakrishnan Nagarajan
    Center on Aging, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
    IEEE Trans Med Imaging 22:882-9. 2003
    ..2000). The results are compared against those obtained using the region-growing approach (SPOT) (Yang et al., 2001). The effect of additive white Gaussian noise is also investigated...