Numerical Computer Methods, Part C

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Overview

The critically acclaimed laboratory standard for more than forty years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Since 1955, each volume has been eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with more than 300 volumes (all of them still in print), the series contains much material still relevant today—truly an essential publication for researchers in all fields of life sciences.

Audience: Biochemists, molecular biologists, cell biologists, biomedical researchers, microbiologists, and developmental biologists.

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Editorial Reviews

From the Publisher
Praise for the Series
"The Methods in Enzymology series represents the gold-standard."
—NEUROSCIENCE
"Incomparably useful."
—ANALYTICAL BIOCHEMISTRY
"It is a true 'methods' series, including almost every detail from basic theory to sources of equipment and reagents, with timely documentation provided on each page."
—BIO/TECHNOLOGY
"The series has been following the growing, changing and creation of new areas of science. It should be on the shelves of all libraries in the world as a whole collection."
—CHEMISTRY IN INDUSTRY
"The appearance of another volume in that excellent series, Methods in Enzymology, is always a cause for appreciation for those who wish to successfully carry out a particular technique or prepare an enzyme or metabolic intermediate without the tiresome prospect of searching through unfamiliar literature and perhaps selecting an unproven method which is not easily reproduced."
—AMERICAN SOCIETY OF MICROBIOLOGY NEWS
"If we had some way to find the work most often consulted in the laboratory, it could well be the multi-volume series Methods in Enzymology...a great work."
—ENZYMOLOGIA
"A series that has established itself as a definitive reference for biochemists."
—JOURNAL OF CHROMATOGRAPHY
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Product Details

  • ISBN-13: 9780121822224
  • Publisher: Elsevier Science
  • Publication date: 7/13/2000
  • Series: Methods in Enzymology Series
  • Edition description: New Edition
  • Pages: 471
  • Product dimensions: 1.06 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

Contributors to Volume 321
Preface
Volumes in Series
1 Physiological Modeling with Virtual Cell Framework 1
2 Kinetic Analysis of Dynamics of Muscle Function 23
3 Molecular Parameters from Sedimentation Velocity Experiments: Whole Boundary Fitting Using Approximate and Numerical Solutions of Lamm Equation 38
4 Sedimentation Velocity Analysis of Macromolecular Assemblies 66
5 Analysis of Weight Average Sedimentation Velocity Data 81
6 Sedimentation Equilibrium Analysis of Mixed Associations Using Numerical Constraints to Impose Mass or Signal Conservation 100
7 Optimal Data Analysis Using Transmitted Light Intensities in Analytical Ultracentrifuge 121
8 Ultracentrifugal Analysis of Molecular Mass of Glycoproteins of Unknown or Ill-Defined Carbohydrate Composition 136
9 Irregularity and Asynchrony in Biologic Network Signals 149
10 Distribution Methods and Analysis of Nonlinear Longitudinal Data 182
11 Distinguishing Models of Growth with Approximate Entropy 196
12 Approximate Entropy as Indication of Goodness-of-Fit 207
13 Kinetic Models and Data Analysis Methods for Fluorescence Anisotropy Decay 216
14 Analysis of Nonequilibrium Facets of Pulsatile Sex-Steroid Secretion in Presence of Plasma-Binding Proteins 239
15 Monte Carlo Simulations of Lateral Membrane Organization 263
16 Hydrodynamic Bead Modeling of Biological Macromolecules 278
17 Bayesiau Hierarchical Models 305
18 Monte Carlo Applications to Thermal and Chemical Denaturation Experiments of Nucleic Acids and Proteins 330
19 Analysis of Drug-DNA Binding Data 353
20 Neural Network Techniques for Informatics of Cancer Drug Discovery 369
21 Dynamic Network Model of Glucose Counterregulation in Subjects with Insulin-Requiring Diabetes 396
22 Association of Self-Monitoring Blood Glucose Profiles with Glycosylated Hemoglobin in Patients with Insulin-Dependent Diabetes 410
23 Outliers and Robust Parameter Estimation 417
24 Parameter Correlations while Curve Fitting 424
Author Index 447
Subject Index 461
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