Hidden Ising models are implemented to identify enriched genomic regions in ChIP-chip data. They can be used to analyze the data from multiple platforms (e.g., Affymetrix, Agilent, and NimbleGen), and the data with single to multiple replicates.
|Bioconductor views||AgilentChip ChIPchip Microarray OneChannel|
|Maintainer||Qianxing Mo <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on Bioconductor|
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