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Optimization Based Data Mining: Theory and Applications pp 249–258Cite as

HIV-1 Informatics

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Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

Abstract

The ability to identify neuronal damage in the dendritic arbor during HIV-1-associated dementia (HAD) is crucial for designing specific therapies for the treatment of HAD. In this chapter, we utilized a computer based image analysis method to quantitatively assess HIV-1 viral protein gp120 and glutamate mediated individual neuronal damage in cultured cortical neurons. Changes in the number of neurites, arbors, branch nodes, cell body area, and average arbor lengths were determined and a database was formed. We further proposed a two class model of MCLP to classify such HIV-1mediated neuronal dendritic and synaptic damages. Given certain classes, including treatments with brain-derived neurotrophic factor (BDNF), glutamate, gp120 or non-treatment controls from our in vitro experimental systems, we used the two-class MCLP model to determine the data patterns between classes in order to gain insight about neuronal dendritic damages. This knowledge can be applied in principle to the design and study of specific therapies for the prevention or reversal of neuronal damage associated with HAD. Finally, the MCLP method was compared with a well-known artificial neural network algorithm to test for the relative potential of different data mining applications in HAD research.

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Author information

Authors and Affiliations

  1. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, 100190, China

    Yong Shi & Yingjie Tian

  2. College of Information Science & Technology, University of Nebraska at Omaha, Omaha, NE, 68182, USA

    Yong Shi

  3. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Gang Kou & Yi Peng

  4. Institute of Policy and Management, Chinese Academy of Sciences, Beijing, 100190, China

    Jianping Li

Authors
  1. Yong Shi
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  2. Yingjie Tian
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  3. Gang Kou
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  4. Yi Peng
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Correspondence to Yong Shi .

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© 2011 Springer-Verlag London Limited

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Shi, Y., Tian, Y., Kou, G., Peng, Y., Li, J. (2011). HIV-1 Informatics. In: Optimization Based Data Mining: Theory and Applications. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-0-85729-504-0_17

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  • DOI: https://doi.org/10.1007/978-0-85729-504-0_17

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-503-3

  • Online ISBN: 978-0-85729-504-0

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