Computational Life Sciences II

Chapter 1 Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering

Chapter 2 A Hybrid Grid and Its Application to Orthologous Groups Clustering

Chapter 3 Promoter Prediction Using Physico-Chemical Properties of DNA

Chapter 4 Parametric Spectral Analysis of Malaria Gene Expression Time Series Data

Chapter 5 An Efficient Algorithm for Finding Long Conserved Regions Between Genes

Chapter 6 The Reversal Median Problem, Common Intervals, and Mitochondrial Gene Orders

Chapter 7 Building Structure-Property Predictive Models Using Data Assimilation

Chapter 8 Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models

Chapter 9 Relational Subgroup Discovery for Descriptive Analysis of Microarray Data

Chapter 10 Applicability of Loop Recombination in Ciliates Using the Breakpoint Graph

Chapter 11 High-Throughput Identification of Chemistry in Life Science Texts

Chapter 12 Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level

Chapter 13 Dynamic Complexity of Chaotic Transitions in High-Dimensional Classical Dynamics: Leu-Enkephalin Folding

Chapter 14 Solvent Effects and Conformational Stability of a Tripeptide

Chapter 15 Grid Assisted Ensemble Molecular Dynamics Simulations of HIV-1 Proteases Reveal Novel Conformations of the Inhibitor Saquinavir

Chapter 16 A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants

Chapter 17 Classifying the World Anti-Doping Agency’s 2005 Prohibited List Using the Chemistry Development Kit Fingerprint

Chapter 18 A Point-Matching Based Algorithm for 3D Surface Alignment of Drug-Sized Molecules

Chapter 19 Adaptive Approach for Modelling Variability in Pharmacokinetics

Chapter 20 A New Approach to Flux Coupling Analysis of Metabolic Networks

Chapter 22 On the Interpretation of High Throughput MS Based Metabolomics Fingerprints with Random Forest

Chapter 23 Construction of Correlation Networks with Explicit Time-Slices Using Time-Lagged, Variable Interval Standard and Partial Correlation Coefficients

Chapter 24 The Language of Cortical Dynamics

Chapter 25 A Simple Method to Simultaneously Track the Numbers of Expressed Channel Proteins in a Neuron