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Computational Life Sciences II

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Cover of 'Computational Life Sciences II'

Table of Contents

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    Book Overview
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    Chapter 1 Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering
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    Chapter 2 A Hybrid Grid and Its Application to Orthologous Groups Clustering
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    Chapter 3 Promoter Prediction Using Physico-Chemical Properties of DNA
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    Chapter 4 Parametric Spectral Analysis of Malaria Gene Expression Time Series Data
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    Chapter 5 An Efficient Algorithm for Finding Long Conserved Regions Between Genes
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    Chapter 6 The Reversal Median Problem, Common Intervals, and Mitochondrial Gene Orders
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    Chapter 7 Building Structure-Property Predictive Models Using Data Assimilation
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    Chapter 8 Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
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    Chapter 9 Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
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    Chapter 10 Applicability of Loop Recombination in Ciliates Using the Breakpoint Graph
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    Chapter 11 High-Throughput Identification of Chemistry in Life Science Texts
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    Chapter 12 Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
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    Chapter 13 Dynamic Complexity of Chaotic Transitions in High-Dimensional Classical Dynamics: Leu-Enkephalin Folding
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    Chapter 14 Solvent Effects and Conformational Stability of a Tripeptide
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    Chapter 15 Grid Assisted Ensemble Molecular Dynamics Simulations of HIV-1 Proteases Reveal Novel Conformations of the Inhibitor Saquinavir
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    Chapter 16 A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants
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    Chapter 17 Classifying the World Anti-Doping Agency’s 2005 Prohibited List Using the Chemistry Development Kit Fingerprint
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    Chapter 18 A Point-Matching Based Algorithm for 3D Surface Alignment of Drug-Sized Molecules
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    Chapter 19 Adaptive Approach for Modelling Variability in Pharmacokinetics
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    Chapter 20 A New Approach to Flux Coupling Analysis of Metabolic Networks
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    Chapter 21 Software Supported Modelling in Pharmacokinetics
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    Chapter 22 On the Interpretation of High Throughput MS Based Metabolomics Fingerprints with Random Forest
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    Chapter 23 Construction of Correlation Networks with Explicit Time-Slices Using Time-Lagged, Variable Interval Standard and Partial Correlation Coefficients
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    Chapter 24 The Language of Cortical Dynamics
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    Chapter 25 A Simple Method to Simultaneously Track the Numbers of Expressed Channel Proteins in a Neuron
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