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Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells.

BMC genomics | 2009

Recent work has revealed that a core group of transcription factors (TFs) regulates the key characteristics of embryonic stem (ES) cells: pluripotency and self-renewal. Current efforts focus on identifying genes that play important roles in maintaining pluripotency and self-renewal in ES cells and aim to understand the interactions among these genes. To that end, we investigated the use of unsigned and signed network analysis to identify pluripotency and differentiation related genes.

Pubmed ID: 19619308 RIS Download

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: 5P30CA016042-28
  • Agency: NIH HHS, United States
    Id: DP2 OD001686
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI063603
  • Agency: NCI NIH HHS, United States
    Id: P50 CA092131
  • Agency: NCI NIH HHS, United States
    Id: P30 CA016042
  • Agency: NIDDK NIH HHS, United States
    Id: DK072206
  • Agency: NCI NIH HHS, United States
    Id: P50CA092131
  • Agency: NIGMS NIH HHS, United States
    Id: P01 GM081621
  • Agency: NIDDK NIH HHS, United States
    Id: R01 DK072206
  • Agency: NIAID NIH HHS, United States
    Id: 1U19AI063603-01
  • Agency: NIH HHS, United States
    Id: DP2 OD001686-01

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Ingenuity Pathways Knowledge Base (tool)

RRID:SCR_008117

A horizontally and vertically structured database that pulls scientific and medical information and describes it consistently using the Ingenuity Ontology. The Knowledge Base pulls information from journals, public molecular content databases, and textbooks. Data is curated and and integrated into the Knowledge Base .

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