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Analysis of mesenchymal stem cell differentiation in vitro using classification association rule mining.

Abstract:

In this paper, data mining is used to analyze the data on the differentiation of mammalian Mesenchymal Stem Cells (MSCs), aiming at discovering known and hidden rules governing MSC differentiation, following the establishment of a web-based public database containing experimental data on the MSC proliferation and differentiation. To this effect, a web-based public interactive database comprising the key parameters which influence the fate and destiny of mammalian MSCs has been constructed and...

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Publisher copy:
10.1142/s0219720009004424

Authors


Bañares-Alcántara, R More by this author
Journal:
Journal of bioinformatics and computational biology
Volume:
7
Issue:
6
Pages:
905-930
Publication date:
2009-12-05
DOI:
EISSN:
1757-6334
ISSN:
0219-7200
URN:
uuid:6bbfae2c-ae65-4099-896b-c32a5dfa5024
Source identifiers:
62611
Local pid:
pubs:62611

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