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Pluripotent Stem Cells in Mice
被引:0
|作者:
Schmidt, Rainer
[1
]
Scheubert, Lena
[2
]
Lustrek, Mitja
[1
,3
]
Repsilber, Dirk
[4
]
Fuellen, Georg
[1
]
机构:
[1] Univ Rostock, Inst Biostat & Informat Med & Aging Res, D-18055 Rostock, Germany
[2] Univ Onsnabrueck, Inst Comp Sci, Osnabruck, Germany
[3] Univ Ljubljana, Dept Intelligent Sci, Ljubljana, Slovenia
[4] Leibniz Inst Farm Anim Biol, Dummerstorf, Germany
来源:
QUALITY OF LIFE THROUGH QUALITY OF INFORMATION
|
2012年
/
180卷
关键词:
Bioinformatics;
machine learning;
pluripotency;
D O I:
10.3233/978-1-61499-101-4-1159
中图分类号:
R19 [保健组织与事业(卫生事业管理)];
学科分类号:
摘要:
Pluripotent stem cells are able to self-renew and to differentiate into all adult cell types. Many studies report data describing these cells and characterize them in molecular terms. Gene expression data of pluripotent and non-pluripotent cells from mouse were assembled. Machine learning was applied to classify samples into pluripotent and non-pluripotent cells. To identify minimal sets of best biomarkers, three methods were used: information gain, random forests, and genetic algorithm.
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页码:1159 / 1161
页数:3
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