An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE

被引：0
|
作者：
Murrugarra, David [1 ]
Veliz-Cuba, Alan [2 ]
机构：
[1] Univ Kentucky, Lexington, KY 40506 USA
[2] Univ Dayton, Dayton, OH 45469 USA
来源：
PATTERNS | 2022年 / 3卷 / 11期
关键词：
D O I：
10.1016/j.patter.2022.100617
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Building predictive models from data is an important and challenging task in many fields including biology, medicine, engineering, and economy. In this issue, Sun et al.(1) present a method for the inference of Boolean networks along with practical applications.
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页数：2
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