ADaCGH2 2.19.2

Analysis of big data from aCGH experiments using parallel computing and ff objects

Released Apr 19, 2018 by Ramon Diaz-Uriarte

This version has not yet been built and tested against Renjin. Please allow a few days for the package to be built.

Analysis and plotting of array CGH data. Allows usage of Circular Binary Segementation, wavelet-based smoothing (both as in Liu et al., and HaarSeg as in Ben-Yaacov and Eldar), HMM, BioHMM, GLAD, CGHseg. Most computations are parallelized (either via forking or with clusters, including MPI and sockets clusters) and use ff for storing data.



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