Sangeeta B English

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi Use of Bayesian networks to probabilistically model and improve the likelihood of validation of microarray findings by RT-PCR
    Sangeeta B English
    Stanford Center for Biomedical Informatics Research BMIR, Stanford University School of Medicine, 251 Campus Drive, Stanford, CA 94305, USA
    J Biomed Inform 42:287-95. 2009
  2. ncbi Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes
    Sangeeta B English
    Department of Medicine, Stanford Medical Informatics, Stanford University School of Medicine, Lucile Packard Children s Hospital, Stanford, CA 94305, USA
    Bioinformatics 23:2910-7. 2007

Detail Information

Publications2

  1. ncbi Use of Bayesian networks to probabilistically model and improve the likelihood of validation of microarray findings by RT-PCR
    Sangeeta B English
    Stanford Center for Biomedical Informatics Research BMIR, Stanford University School of Medicine, 251 Campus Drive, Stanford, CA 94305, USA
    J Biomed Inform 42:287-95. 2009
    ..In conclusion, in this study, we have successfully added a new automated step to determine the contributory sources of noise that determine successful or unsuccessful downstream biological validation...
  2. ncbi Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes
    Sangeeta B English
    Department of Medicine, Stanford Medical Informatics, Stanford University School of Medicine, Lucile Packard Children s Hospital, Stanford, CA 94305, USA
    Bioinformatics 23:2910-7. 2007
    ..The approach described here can include any number and type of genome-wide experiments and might be useful for other complex polygenic disorders as well...