J C Rajapakse

Summary

Affiliation: Nanyang Technological University
Country: Singapore

Publications

  1. doi request reprint Multiclass gene selection using Pareto-fronts
    Jagath C Rajapakse
    Nanyang Technological University Singapore, Singapore
    IEEE/ACM Trans Comput Biol Bioinform 10:87-97. 2013
  2. pmc Stability of building gene regulatory networks with sparse autoregressive models
    Jagath C Rajapakse
    Bioinformatics Research Centre, School of Computer Engineering, Nanyang Technological University, Singapore 639798
    BMC Bioinformatics 12:S17. 2011
  3. pmc Correlation of cell membrane dynamics and cell motility
    Merlin Veronika
    Computation and Systems Biology, Singapore MIT Alliance, Nanyang Technological University, Singapore 637460
    BMC Bioinformatics 12:S19. 2011
  4. pmc Detecting robust time-delayed regulation in Mycobacterium tuberculosis
    Iti Chaturvedi
    Bioinformatics Research Center, School of Computer Engineering, Nanyang Technological University, Singapore
    BMC Genomics 10:S28. 2009
  5. pmc Sub-population analysis based on temporal features of high content images
    Merlin Veronika
    Computation and Systems Biology, Singapore MIT Alliance, Nanyang Technological University, Singapore
    BMC Bioinformatics 10:S4. 2009
  6. pmc RecMotif: a novel fast algorithm for weak motif discovery
    He Quan Sun
    School of Computer Engineering, Nanyang Technological University, 639798, Singapore
    BMC Bioinformatics 11:S8. 2010
  7. doi request reprint Probabilistic framework for brain connectivity from functional MR images
    Jagath C Rajapakse
    School of Computer Engineering and the BioInformatics Research Centre, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore
    IEEE Trans Med Imaging 27:825-33. 2008
  8. ncbi request reprint Learning effective brain connectivity with dynamic Bayesian networks
    Jagath C Rajapakse
    Bioinformatics Research Center, Nanyang Technological University, Singapore
    Neuroimage 37:749-60. 2007
  9. ncbi request reprint Markov encoding for detecting signals in genomic sequences
    Jagath C Rajapakse
    Bioinformatics Research Center, School of Computer Engineering, Nanyang Technological University, Singapore 639798
    IEEE/ACM Trans Comput Biol Bioinform 2:131-42. 2005
  10. ncbi request reprint Exploratory analysis of brain connectivity with ICA
    Jagath C Rajapakse
    Max Planck Institute of Cognitive Neuroscience, Leipzig, Germany
    IEEE Eng Med Biol Mag 25:102-11. 2006

Collaborators

Detail Information

Publications14

  1. doi request reprint Multiclass gene selection using Pareto-fronts
    Jagath C Rajapakse
    Nanyang Technological University Singapore, Singapore
    IEEE/ACM Trans Comput Biol Bioinform 10:87-97. 2013
    ..A significant improvement in classification performance and reduction in redundancy among top-ranked genes were achieved in experiments with both synthetic and real-benchmark data sets...
  2. pmc Stability of building gene regulatory networks with sparse autoregressive models
    Jagath C Rajapakse
    Bioinformatics Research Centre, School of Computer Engineering, Nanyang Technological University, Singapore 639798
    BMC Bioinformatics 12:S17. 2011
    ..This paper investigates the stability of sparse auto-regressive models of building GRN from gene expression data...
  3. pmc Correlation of cell membrane dynamics and cell motility
    Merlin Veronika
    Computation and Systems Biology, Singapore MIT Alliance, Nanyang Technological University, Singapore 637460
    BMC Bioinformatics 12:S19. 2011
    ..We aim to bridge the gap between membrane dynamics and cell states from the perspective of whole cell movement by identifying cell edge patterns and its correlation with cell dynamics...
  4. pmc Detecting robust time-delayed regulation in Mycobacterium tuberculosis
    Iti Chaturvedi
    Bioinformatics Research Center, School of Computer Engineering, Nanyang Technological University, Singapore
    BMC Genomics 10:S28. 2009
    ..Using the derived networks, we discuss the delayed regulations and robustness of the DNA damage seen in the bacterium...
  5. pmc Sub-population analysis based on temporal features of high content images
    Merlin Veronika
    Computation and Systems Biology, Singapore MIT Alliance, Nanyang Technological University, Singapore
    BMC Bioinformatics 10:S4. 2009
    ..The demand of new platforms, coupled with availability of terabytes of data has challenged the traditional technique of identifying cell populations by manual methods and resulted in development of high-dimensional analytical methods...
  6. pmc RecMotif: a novel fast algorithm for weak motif discovery
    He Quan Sun
    School of Computer Engineering, Nanyang Technological University, 639798, Singapore
    BMC Bioinformatics 11:S8. 2010
    ....
  7. doi request reprint Probabilistic framework for brain connectivity from functional MR images
    Jagath C Rajapakse
    School of Computer Engineering and the BioInformatics Research Centre, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore
    IEEE Trans Med Imaging 27:825-33. 2008
    ..Experimental results show that the present approach outperforms earlier fMRI analysis techniques on synthetic functional images and robustly derives brain connectivity from real fMRI data...
  8. ncbi request reprint Learning effective brain connectivity with dynamic Bayesian networks
    Jagath C Rajapakse
    Bioinformatics Research Center, Nanyang Technological University, Singapore
    Neuroimage 37:749-60. 2007
    ..Furthermore, we study the effects of hemodynamic noise, scanner noise, inter-scan interval, and the variability of hemodynamic parameters on the derived connectivity...
  9. ncbi request reprint Markov encoding for detecting signals in genomic sequences
    Jagath C Rajapakse
    Bioinformatics Research Center, School of Computer Engineering, Nanyang Technological University, Singapore 639798
    IEEE/ACM Trans Comput Biol Bioinform 2:131-42. 2005
    ..We demonstrate the efficacy of the Markov encoding method in the detection of three genomic signals, namely, splice sites, transcription start sites, and translation initiation sites...
  10. ncbi request reprint Exploratory analysis of brain connectivity with ICA
    Jagath C Rajapakse
    Max Planck Institute of Cognitive Neuroscience, Leipzig, Germany
    IEEE Eng Med Biol Mag 25:102-11. 2006
  11. ncbi request reprint Proteomic cancer classification with mass spectrometry data
    Jagath C Rajapakse
    Bioinformatics Research Centre, School of Computer Engineering, Nanyang Technological University, Singapore
    Am J Pharmacogenomics 5:281-92. 2005
    ..To illustrate the importance of feature selection in cancer classification, we present a method based on support vector machine-recursive feature elimination (SVM-RFE), demonstrated on two cancer datasets from ovarian and lung cancer...
  12. ncbi request reprint Bayesian approach to segmentation of statistical parametric maps
    J C Rajapakse
    School of Computer Engineering, Nanyang Technological University, Singapore, Singapore
    IEEE Trans Biomed Eng 48:1186-94. 2001
    ....
  13. ncbi request reprint Random-grid stereologic volumetry of MR head scans
    J C Rajapakse
    School of Computer Engineering, Nanyang Technological University, Singapore
    J Magn Reson Imaging 12:833-41. 2000
    ..Also, the effects of grid sizes, the optimal directions of sectioning the object for volume estimates of the brain and ventricles, and the reliability of the technique are investigated. J. Magn. Reson. Imaging 2000;12:833-841...
  14. ncbi request reprint Modeling hemodynamic response for analysis of functional MRI time-series
    J C Rajapakse
    Max Planck Institute of Cognitive Neuroscience, Leipzig, Germany
    Hum Brain Mapp 6:283-300. 1998
    ....