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Automation of Biological Model Learning, Design and Analysis

Published:20 May 2015Publication History

ABSTRACT

Although there have been several recent attempts to automate steps of the process of model development and analysis in cell signaling networks, closing the overall cycle between information extraction, model assembly and analysis, and design of questions to guide new information search and experiments still requires a significant amount of human intervention. In this paper, we give an overview of challenges in this process, and outline our approaches to tackle these challenges.

References

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  1. Automation of Biological Model Learning, Design and Analysis

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    • Published in

      cover image ACM Conferences
      GLSVLSI '15: Proceedings of the 25th edition on Great Lakes Symposium on VLSI
      May 2015
      418 pages
      ISBN:9781450334747
      DOI:10.1145/2742060

      Copyright © 2015 ACM

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      Publication History

      • Published: 20 May 2015

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      GLSVLSI '15 Paper Acceptance Rate41of148submissions,28%Overall Acceptance Rate312of1,156submissions,27%

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