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- W2000237718 abstract "Human cell regulatory mechanism is one of suspicious problems among biologists. Here we tried to uncover the human breast cancer cell regulatory mechanism from gene expression data (Marc J. Van de vijver, et.al.,2002) using a module network algorithm which is suggested by Segal, et. al.(2003) Finally, we derived a module network which consists of 50 modules and 10 tree depths. Moreover, to validate this candidate network, we applied a GO enrichment test and known transcription factor-target relationships from Transfac® (V. Matys, et.al, 2006) and HPRD database (Peri, S. et al. ,2003)." @default.
- W2000237718 created "2016-06-24" @default.
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- W2000237718 date "2007-02-28" @default.
- W2000237718 modified "2023-09-26" @default.
- W2000237718 title "Inferring candidate regulatory networks in human breast cancer cells" @default.
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- W2000237718 doi "https://doi.org/10.4051/ibce.2009.3.0023" @default.
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