Computer methods /
| Other Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam ; Boston :
Academic Press/Elsevier,
©2009
|
| Series: | Methods in enzymology ;
v. 454, 467 |
| Subjects: |
Table of Contents:
- part A (v. 454) Phase response curves : elucidating the dynamics of coupled oscillators / A. Granada ... [et al.]
- Multiple ion binding equilibria, reaction kinetics, and thermodynamics in dynamic models of biochemical pathways / Kalyan C. Vinnakota ... [et al.]
- Analytical methods for the retrieval and interpretation of continuous glucose monitoring data in diabetes / Boris Kovatchev, Marc Breton, and William Clarke
- Analysis of heterogeneity in molecular weight and shape by analytical ultracentrifugation using parallel distributed computing / Borries Demeler, Emre Brookes, and Luitgard Nagel-Steger
- Discrete stochastic simulation methods for chemically reacting systems / Yang Cao and David C. Samuels
- Analyses for physiological and behavioral rhythmicity / Harold B. Dowse
- A computational approach for the rational design of stable proteins and enzymes : optimization of surface charge-charge interactions / Katrina L. Schweiker and George I. Makhatadze
- Efficient computation of confidence intervals for Bayesian model predictions based on multidimensional parameter space / Amber D. Smith ... [et al.]
- Analyzing enzymatic pH activity profiles and protein titration curves using structure-based pKa calculations and titration curve fitting / Jens Erik Nielsen
- Least squares in calibration : weights, nonlinearity, and other nuisances / Joel Tellinghuisen
- Evaluation and comparison of computational models / Jay I. Myung, Yun Tang, and Mark A. Pitt
- Desegregating undergraduate mathematics and biology : interdisciplinary instruction with emphasis on ongoing biomedical research / Raina Robeva
- Mathematical algorithms for high-resolution DNA melting analysis / Robert Palais and Carl T. Wittwer
- Biomathematical modeling of pulsatile hormone secretion : a historical perspective / William S. Evans, Leon S. Farhy, and Michael L. Johnson
- AutoDecon : a robust numerical method for the quantification of pulsatile events / Michael L. Johnson ... [et al.]
- Modeling fatigue over sleep deprivation, circadian rhythm, and caffeine with a minimal performance inhibitor model / Patrick L. Benitez ... [et al.].
- part B (v. 467) Correlation analysis a tool for comparing relaxation-type models to experimental data
- Trait variability of cancer cells quantified by high-content automated microscopy of single cells
- Matrix factorization for recovery of biological processes from microarray data
- Modeling and simulation of the immune system as a self-regulating network
- Entropy demystified the "thermo"-dynamics of stochastically fluctuating systems
- Effect of kinetics on sedimentation velocity profiles and the role of intermediates
- Algebraic models of biochemical networks
- High-throughput computing in the sciences
- Large scale transcriptome data integration across multiple tissues to decipher stem cell signatures
- DynaFit--a software package for enzymology
- Discrete dynamic modeling of cellular signaling networks
- The basic concepts of molecular modeling
- Deterministic and stochastic models of genetic regulatory networks
- Bayesian probability approach to ADHD appraisal
- Simple stochastic simulation
- Monte Carlo simulation in establishing analytical quality requirements for clinical laboratory tests meeting clinical needs
- Nonlinear dynamical analysis and optimization for biological/biomedical systems
- Modeling of growth factor-receptor systems from molecular-level protein interaction networks to whole-body compartment models
- The least-squares analysis of data from binding and enzyme kinetics studies weights, bias, and confidence intervals in usual and unusual situations
- Nonparametric entropy estimation using kernel densities
- Pancratic network control of glucagon secretion and counterregulation
- Enzyme kinetics and computational modeling for systems biology
- Fitting enzyme kinetic data with KinTek Global Kinetic Explorer.