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

页码：1159 / 1161

页数：3

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