Bayesian methods for elucidating genetic regulatory networks
Bayesian methods for elucidating genetic regulatory networks
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DOI：
10.1109/mis.2002.999218
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发表时间：
2002-03-01
影响因子：
6.4
通讯作者：
Young, RA
中科院分区：
文献类型：
--
作者：
Hartemink, AJ;Gifford, DK;Young, RA
贝叶斯网络方法对于阐明基因调控网络是有用的，因为它们可以表示变量之间的多对关系，抗过拟合，并且在噪声数据面前保持稳健。
Bayesian network methods are useful for elucidating genetic regulatory networks because they can represent more than pair-wise relationships between variables, are resistant to overfitting, and remain robust in the face of noisy data.