bioconductor-adacgh2
Analysis of big data from aCGH experiments using parallel computing and ff objects
Analysis of big data from aCGH experiments using parallel computing and ff objects
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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.
Summary
Analysis of big data from aCGH experiments using parallel computing and ff objects
Last Updated
Dec 17, 2023 at 19:07
License
GPL (>= 3)
Total Downloads
27.8K
Supported Platforms