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Bayesian differential allocation algorithm

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/0000013a-b7cb-e1f3-d69a-d90d80000000

Resource Type

  1. Algorithmic software component

Properties

  1. Resource Description
    The Bayesian differential allocation algorithm is a non-parametric approach "to more efficiently assign resamples (such as bootstrap samples or permutations) within a nonparametric multiple testing framework. We formulated a Bayesian-inspired approach to this problem, and devised an algorithm that adapts the assignment of resamples iteratively with negligible space and running time overhead."
  2. Additional Name
    BayDAR
  3. Used by
    Wang Laboratory
  4. Data Input
    Microarray measurements for each gene
  5. Data Output
    Set of significant genes
  6. Related Publication or Documentation
    A Bayesian approach to efficient differential allocation for resampling-based significance testing
  7. Website(s)
    https://github.com/ssoi/baydar
  8. Related Technique
    SNP genotyping assay
  9. Related Technique
    Nucleic acid microarray assay
  10. Developed by
    Wang, Li-San, Ph.D.
  11. Software license
    GNU General Public License
  12. Algorithm used
    Multiple testing
  13. Coded in
    R language
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2012-10-31T13:10:08.016-04:00
  4. creator
    fcoldren
  5. modified
    2015-11-30T18:21:50.141-05:00

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