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This is code review for DESeq2 for my personal understanding

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DESeq2

This is code review for DESeq2 for my personal understanding

DESeq2 organization of R files

  • core ........... most of the statistical code (example call below)

  • fitNbinomGLMs .. three functions for fitting NB GLMs

  • methods ........ the S4 methods (estimateSizeFactors, etc.)

  • AllClasses ..... class definitions and object constructors

  • AllGenerics .... the generics defined in DESeq2

  • results ........ results() function and helpers

  • plots .......... all plotting functions

  • lfcShrink ...... log2 fold change shrinkage

  • helper ......... unmix, collapseReplicates, fpkm, fpm, DESeqParallel

  • expanded ....... helpers for dealing with expanded model matrices

  • wrappers ....... the R wrappers for the C++ functions (mine)

  • RcppExports .... the R wrappers for the C++ functions (auto)

  • rlogTransformation ... rlog

  • varianceStabilizingTransformation ... VST

  • general outline of the internal function calls.

  • note: not all of these functions are exported.

  • DESeq

    • |- estimateSizeFactors
    • |- estimateSizeFactorsForMatrix
    • |- estimateDispersions
      • |- estimatedispersionsgeneest
      • |- fitnbinomglms
      • |- fitbeta (c++)
      • |- fitdisp (c++)
      • |- estimatedispersionsfit
      • |- estimatedispersionsmap
      • |- estimatedispersionpriorvar
      • |- fitdisp (c++)
      • |- nbinomwaldtest
      • |- fitglmswithprior
      • |- fitnbinomglms
      • |- fitbeta (c++)
      • |- estimatebetapriorvar
      • |- fitnbinomglms
      • |- fitBeta (C++)

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  • R 86.0%
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  • C++ 5.8%