Table 11.
Method | Phen. allowed a | Input values b | K c | Link |
---|---|---|---|---|
Ref-based | Any | Beta | N/A | http://people.oregonstate.edu/~housemae/software/TutorialLondon2014 |
http://bioconductor.org/packages/release/bioc/html/minfi.html | ||||
Ref-free | Any | Beta | Estimated | http://cran.r-project.org/web/packages/RefFreeEWAS/index.html |
SVA | Any | Beta or logit(beta) | Estimated | http://bioconductor.org/packages/release/bioc/html/sva.html |
ISVA | Continuous | Beta or logit(beta) | Estimated | http://cran.r-project.org/web/packages/isva/index.html |
EWASher | Binary | Beta | Estimated | http://research.microsoft.com/en-us/downloads/472fe637-7cb9-47d4-a0df-37118760ccd1 |
CellCDec | Not used | Beta | Input | https://github.com/jameswagner/CellCDec |
Deconf | Not used | Beta or logit(beta) | Input | http://web.cbio.uct.ac.za/~renaud/CRAN |
RUV | Any | Beta or logit(beta) | Estimated | https://cran.r-project.org/web/packages/ruv/index.html |
aWhat kinds of phenotype are allowed?
bDoes the method use methylation proportions (beta values)? Or logit transformed beta values?
cDoes the method estimate the number of latent cell types K, or is K input into the algorithm?