Integrative analysis using module-guided random forests reveals correlated genetic factors related to mouse weight.
第一作者:
Zheng,Chen
第一单位:
Department of Computer Science and Engineering, Washington University, St. Louis, Missouri, United States of America.
作者:
主题词
算法(Algorithms);动物(Animals);人工智能(Artificial Intelligence);体重(Body Weight);计算生物学(Computational Biology);决策树(Decision Trees);女(雌)性(Female);小鼠(Mice);模型, 遗传学(Models, Genetic);肥胖症(Obesity)
DOI
10.1371/journal.pcbi.1002956
PMID
23505362
发布时间
2021-10-21
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PLoS computational biology
e1002956页
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