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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2007-4-9
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pubmed:abstractText |
Expert knowledge in journal articles is an important source of data for reconstructing biological pathways and creating new hypotheses. An important need for medical research is to integrate this data with high throughput sources to build useful models that span several scales. Researchers traditionally use mental models of pathways to integrate information and development new hypotheses. Unfortunately, the amount of information is often overwhelming and these are inadequate for predicting the dynamic response of complex pathways. Hierarchical computational models that allow exploration of semi-quantitative dynamics are useful systems biology tools for theoreticians, experimentalists and clinicians and may provide a means for cross-communication.
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pubmed:grant |
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1752-0509
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
1
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
13
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pubmed:dateRevised |
2011-1-5
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pubmed:meshHeading |
pubmed-meshheading:17408503-Algorithms,
pubmed-meshheading:17408503-Artificial Intelligence,
pubmed-meshheading:17408503-Brain Neoplasms,
pubmed-meshheading:17408503-Cell Cycle,
pubmed-meshheading:17408503-Child,
pubmed-meshheading:17408503-Computer Simulation,
pubmed-meshheading:17408503-Gene Regulatory Networks,
pubmed-meshheading:17408503-Hedgehog Proteins,
pubmed-meshheading:17408503-Humans,
pubmed-meshheading:17408503-Medulloblastoma,
pubmed-meshheading:17408503-Metabolic Networks and Pathways,
pubmed-meshheading:17408503-Models, Biological,
pubmed-meshheading:17408503-Systems Biology
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pubmed:year |
2007
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pubmed:articleTitle |
Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery.
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pubmed:affiliation |
Harvard Medical School and Children's Hospital Informatics Program at Harvard-MIT Division of Health Sciences and Technology (ChIP@HST), Boston, MA 02115, USA. william.bosl@childrens.harvard.edu
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