Integrating Biological Heuristics and Gene Expression Data for Gene Regulatory Network Inference-Reference-Cited by-同舟云学术

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Integrating Biological Heuristics and Gene Expression Data for Gene Regulatory Network Inference

Published:2019-01-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Australasian Computer Science Week Multiconference
language:
Short-container-title:

Author:

Zarnegar Armita¹,Jelinek Herbert F.²,Vamplew Peter³,Stranieri Andrew⁴

Affiliation:

1. Swinburne University of Technology, Melbourne, Australia

2. Australian School of Advanced Medicine, Macquarie University, Sydney, Australia

3. School of Science, Engineering and IT, Federation University, Australia

4. School of Science, Engineering and IT, Federation University, Victoria, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3290688.3290741

Reference47 articles.

1. Using graph theory to analyze biological networks

2. Coexpression Analysis of Human Genes Across Many Microarray Data Sets

3. Speed T (2005). Statistical Analysis of Gene Expression Microarray Data: CHAPMAN & HALL/CRC Press. Speed T (2005). Statistical Analysis of Gene Expression Microarray Data: CHAPMAN & HALL/CRC Press.

4. Next-Generation DNA Sequencing Methods

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