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- W2103286383 abstract "Materials and methods We developed a systematic approach to identify deregulated biological networks in HCC by integrating gene expression profiles [1] with high-throughput proteinprotein interaction data [2]. Samples were grouped into five disease stages including normal, cirrhotic, dysplastic, early and advanced HCC. For each pair of consecutive stages, we compared gene expressions and then mapped these measures to the protein interaction network. Responsive subnetworks were then identified from these node weighted networks. The searching algorithm is adapted from a previous study [3], which expands the seed graphs under constrains of several parameters." @default.
- W2103286383 created "2016-06-24" @default.
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- W2103286383 date "2011-08-05" @default.
- W2103286383 modified "2023-10-06" @default.
- W2103286383 title "Identifying the key genes and pathways in the progression of hepatitis C virus induced hepatocellular carcinoma using a systems biology approach" @default.
- W2103286383 cites W2010768245 @default.
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- W2103286383 doi "https://doi.org/10.1186/1471-2105-12-s7-a4" @default.
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