Numerical Computer Methods, Part E (Volume 384) (Methods in Enzymology, Volume 384)

The contributions in this volume emphasize analysis of experimental data and analytical biochemistry, with examples taken from biochemistry. They serve to inform biomedical researchers of the modern data analysis methods that have developed concomitantly with computer hardware. Selected Contents: A practical approach to interpretation of SVD results; modeling of oscillations in endocrine networks with feedback; quantifying asynchronous breathing; sample entropy; wavelet modeling and processing of nasal airflow traces Cover; Table of Contents; Contributors to Volume 384; Preface; Volumes in Series; Chapter 1. A Practical Approach to Interpretation of Singular Value Decomposition Results; Chapter 2. Large Reduction in Singular Value Calculation Time Using Savitzsky-Golay Data Precompression; Chapter 3. Efficient Integration of Kinetic Differential Equation Sets Using Matrix Exponentiation; Chapter 4. Deconvolution Analysis as a Hormone Pulse-Detection Algorithm; Chapter 5. Modeling of Oscillations in Endocrine Networks with Feedback Chapter 6. Measuring the Coupling of Hormone Concentration Time Series Using Polynomial Transfer FunctionsChapter 7. Numerical Estimation of HbA1c from Routine Self-Monitoring Data in People with Type 1 and Type 2 Diabetes Mellitus; Chapter 8. Wavelet Modeling and Processing of Nasal Airflow Traces; Chapter 9. Quantifying Asynchronous Breathing; Chapter 10. Mixed-Model Regression Analysis and Dealing with Interindividual Differences; Chapter 11. Sample Entropy; Chapter 12. Calculating Sedimentation Coefficient Distributions by Direct Modeling of Sedimentation Velocity Concentration Profiles Chapter 13. Analysis of Heterogeneous InteractionsChapter 14. Estimation of Weights for Various Methods of the Fitting of Equilibrium Data from the Analytical Ultracentrifuge; Chapter 15. Applications of NMR Spin Relaxation Methods for Measuring Biological Motions; Author Index; Subject Index The contributions in this volume emphasize analysis of experimental data and analytical biochemistry, with examples taken from biochemistry. They serve to inform biomedical researchers of the modern data analysis methods that have developed concomitantly with computer hardware.

Selected Contents: A practical approach to interpretation of SVD results; modeling of oscillations in endocrine networks with feedback; quantifying asynchronous breathing; sample entropy; wavelet modeling and processing of nasal airflow traces Annotation The contributions in this volume emphasize analysis of experimental data and analytical biochemistry, with examples taken from biochemistry. They serve to inform biomedical researchers of the modern data analysis methods that have developed concomitantly with computer hardware