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MACPath(Model-based Analysis of Competing-endogenous Pathways in Cancer)

Current version: 0.9.2

To discover biological function of ceRNA relationship changed between normal and cancer cells, we developed a computational method (MACPath) to identify pathway pairs enriched with ceRNA relationship changes. In particular, MACPath addresses three research questions, identifying (1) direct cePathways, (2) indirect cePathways, and (3) minimally mediating ceRNAs between indirect cePathways.

An example of a cePathway gained in tumors Brief description of the algorithm

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Please click on Full Documentation to download source code and test data.

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Citation information will be given after deciding about publication: Park HJ, Kim S, Li W (2018) Model-based analysis of competing-endogenous pathways (MACPath) in human cancers. PLoS Comput Biol 14(3): e1006074. https://doi.org/10.1371/journal. pcbi.1006074

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Discovering Dysregulated Competing-endogenous Pathways in Cancer

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