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Stage prediction of embryonic stem cell differentiation from genome-wide expression data
Author(s) -
Lan Žagar,
Francesca Mulas,
Silvia Garagna,
Maurizio Zuccotti,
Riccardo Bellazzi,
Blaž Zupan
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr422
Subject(s) - embryonic stem cell , genome , stem cell , computational biology , biology , cellular differentiation , stage (stratigraphy) , expression (computer science) , computer science , genetics , gene , paleontology , programming language
The developmental stage of a cell can be determined by cellular morphology or various other observable indicators. Such classical markers could be complemented with modern surrogates, like whole-genome transcription profiles, that can encode the state of the entire organism and provide increased quantitative resolution. Recent findings suggest that such profiles provide sufficient information to reliably predict the cell's developmental stage.

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