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• W1011370285 abstract "The authors investigated the regulatory network motifs and corresponding motif positions of cancer-related genes. First, they mapped disease-related genes to a transcription factor regulatory network. Next, they calculated statistically significant motifs and subsequently identified positions within these motifs that were enriched in cancer-related genes. Potential mechanisms of these motifs and positions are discussed. These results could be used to identify other disease- and cancer-related genes and could also suggest mechanisms for how these genes relate to co-occurring diseases." @default.
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• W1011370285 date "2015-08-01" @default.
• W1011370285 modified "2023-09-26" @default.
• W1011370285 title "Identification of cancer‐related genes and motifs in the human gene regulatory network" @default.
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• W1011370285 doi "https://doi.org/10.1049/iet-syb.2014.0058" @default.
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