15257023

Source:http://linkedlifedata.com/resource/pubmed/id/15257023

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0029246, umls-concept:C0038250, umls-concept:C0040300, umls-concept:C0162340, umls-concept:C0814929
pubmed:issue	2
pubmed:dateCreated	2004-7-16
pubmed:abstractText	Theoretic and, in particular, mathematic models can help biologists to select and design experiments, to highlight general principles, to discriminate similar and to link different phenomena, and to predict novel features. Specifically, they contribute to an understanding of latent mechanisms and crucial parameters of biologic processes. The following review gives an overview of recent developments in the field of hematopoietic tissue stem cell modeling.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9430802
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Mar
pubmed:issn	1065-6251
pubmed:author	pubmed-author:LoefflerMarkusM, pubmed-author:RoederIngoI
pubmed:issnType	Print
pubmed:volume	11
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	81-7
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:15257023-Animals, pubmed-meshheading:15257023-Cell Differentiation, pubmed-meshheading:15257023-Humans, pubmed-meshheading:15257023-Models, Biological, pubmed-meshheading:15257023-Regeneration, pubmed-meshheading:15257023-Stem Cells
pubmed:year	2004
pubmed:articleTitle	Conceptual models to understand tissue stem cell organization.
pubmed:affiliation	Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany. markus.loeffler@imise.uni-leipzig.de
pubmed:publicationType	Journal Article, Review, Research Support, Non-U.S. Gov't