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Advances in Biomedical Infrastructure 2013

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Cover of 'Advances in Biomedical Infrastructure 2013'

Table of Contents

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    Book Overview
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    Chapter 1 Integrative Approaches for Drug Discovery – PPAR Gamma as a Case Study
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    Chapter 2 Biomedical Informatics and the Future of Medicine
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    Chapter 3 Inferring E. coli SOS Response Pathway from Gene Expression Data Using IST-DBN with Time Lag Estimation
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    Chapter 4 Framework for Biodiversity Information Retrieval in Malaysia
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    Chapter 5 Using Ant Colony Optimization (ACO) on Kinetic Modeling of the Acetoin Production in Lactococcus Lactis C7
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    Chapter 6 Semantic Rule-Based Determination of Cancer Stages from Free-Text Radiology Reports
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    Chapter 7 Using Particle Swarm Optimization for Estimating Kinetics Parameters on Essential Amino Acid Production of Arabidopsis Thaliana
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    Chapter 8 Content-Based and Similarity-Based Querying for Broad-Usage Medical Image Retrieval
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    Chapter 9 Inferring Gene Networks from Gene Expression Data Using Dynamic Bayesian Network with Different Scoring Metric Approaches
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    Chapter 10 Malaysian Parasite Database Infrastructure
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    Chapter 11 Prediction of Vanillin Production in Yeast Using a Hybrid of Continuous Bees Algorithm and Flux Balance Analysis (CBAFBA)
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    Chapter 12 Identifying Gene Knockout Strategy Using Bees Hill Flux Balance Analysis (BHFBA) for Improving the Production of Ethanol in Bacillus Subtilis
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    Chapter 13 A Hybrid of Artificial Bee Colony and Flux Balance Analysis for Identifying Optimum Knockout Strategies for Producing High Yields of Lactate in Echerichia Coli
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Title
Advances in Biomedical Infrastructure 2013
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-37137-0
ISBNs
978-3-64-237136-3, 978-3-64-237137-0
Editors

Sidhu, Amandeep S., Dhillon, Sarinder K

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 5%
Student > Ph. D. Student 2 5%
Other 1 3%
Professor > Associate Professor 1 3%
Student > Master 1 3%
Other 0 0%
Unknown 30 81%
Readers by discipline Count As %
Computer Science 2 5%
Engineering 2 5%
Agricultural and Biological Sciences 1 3%
Energy 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 30 81%