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Mathematical Models in Biology

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Cover of 'Mathematical Models in Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Image Segmentation, Processing and Analysis in Microscopy and Life Science
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    Chapter 2 Image Analysis and Classification for High-Throughput Screening of Embryonic Stem Cells
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    Chapter 3 Exploiting “Mental” Images in Artificial Neural Network Computation
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    Chapter 4 Applying Design of Experiments Methodology to PEI Toxicity Assay on Neural Progenitor Cells
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    Chapter 5 A Design of Experiment Approach to Optimize an Image Analysis Protocol for Drug Screening
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    Chapter 6 Computational Modeling of miRNA Biogenesis
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    Chapter 7 Tunicate Neurogenesis: The Case of the SoxB2 Missing CNE
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    Chapter 8 MECP2: A Multifunctional Protein Supporting Brain Complexity
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    Chapter 9 DNA Barcode Classification Using General Regression Neural Network with Different Distance Models
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    Chapter 10 First Application of a Distance-Based Outlier Approach to Detect Highly Differentiated Genomic Regions Across Human Populations
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    Chapter 11 Predicting the Metagenomics Content with Multiple CART Trees
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    Chapter 12 A Statistical Approach to Infer 3 d Chromatin Structure
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    Chapter 13 Basic Exploratory Proteins Analysis with Statistical Methods Applied on Structural Features
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    Chapter 14 Modelling of Protein Surface Using Parallel Heterogeneous Architectures
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Title
Mathematical Models in Biology
Published by
Springer International Publishing, November 2015
DOI 10.1007/978-3-319-23497-7
ISBNs
978-3-31-923496-0, 978-3-31-923497-7
Editors

Zazzu, Valeria, Ferraro, Maria Brigida, Guarracino, Mario R.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 5 19%
Student > Bachelor 4 15%
Researcher 2 8%
Student > Doctoral Student 1 4%
Other 5 19%
Unknown 1 4%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 15%
Environmental Science 3 12%
Physics and Astronomy 3 12%
Engineering 3 12%
Agricultural and Biological Sciences 3 12%
Other 8 31%
Unknown 2 8%