INFORMATIVE STRUCTURE PRIORS: JOINT LEARNING OF DYNAMIC REGULATORY NETWORKS FROM MULTIPLE TYPES OF DATA-Reference-Cited by-同舟云学术

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INFORMATIVE STRUCTURE PRIORS: JOINT LEARNING OF DYNAMIC REGULATORY NETWORKS FROM MULTIPLE TYPES OF DATA

Published:2004-12 Issue: Volume: Page:
ISSN:
Container-title:Biocomputing 2005
language:
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Author:

BERNARD ALLISTER¹,HARTEMINK ALEXANDER J.¹

Affiliation:

1. Duke University, Dept. of Computer Science, Box 90129, Durham, NC 27708, USA

Publisher

WORLD SCIENTIFIC

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BENIN: Biologically enhanced network inference;Journal of Bioinformatics and Computational Biology;2020-06

2. ANCA;Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2018-08-15

3. Integrative random forest for gene regulatory network inference;Bioinformatics;2015-06-13

4. Introduction to Systems Biology for Animal Scientists;Systems Biology and Livestock Science;2011-10-10

5. Microarray Data Analysis: Gene Regulatory Networks;Advanced Methods of Biomedical Signal Processing;2011-06-13

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