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.
引用
收藏
页码:1159 / 1161
页数:3
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