Computer Methods, Part C by Elsevier Science | Hardcover | Barnes & Noble
Computer Methods, Part C

Computer Methods, Part C

4.8 5
by Elsevier Science
     
 

ISBN-10: 0123812704

ISBN-13: 9780123812704

Pub. Date: 01/26/2011

Publisher: Elsevier Science

The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This

Overview

The combination of faster, more advanced computers and more quantitatively oriented biomedical researchers has recently yielded new and more precise methods for the analysis of biomedical data. These better analyses have enhanced the conclusions that can be drawn from biomedical data, and they have changed the way that experiments are designed and performed. This volume, along with the 2 previous Computer Methods volumes for the Methods in Enzymology serial, aims to inform biomedical researchers about recent applications of modern data analysis and simulation methods as applied to biomedical research.

* Presents step-by-step computer methods and discusses the techniques in detail to enable their implementation in solving a wide range of problems
• Informs biomedical researchers of the modern data analysis methods that have developed alongside computer hardware *Presents methods at the "nuts and bolts" level to identify and resolve a problem and analyze what the results mean

Product Details

ISBN-13:
9780123812704
Publisher:
Elsevier Science
Publication date:
01/26/2011
Series:
Methods in Enzymology Series
Pages:
696
Product dimensions:
6.20(w) x 9.10(h) x 1.60(d)

Table of Contents

  1. Predicting Fluorescence Lifetimes and Spectra of Biopolymers
  2. Patrik R. Callis

  3. Modeling of Regulatory Networks: Theory and Applications in the study of the Drosophila Circadian Clock
  4. Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh

  5. Strategies for articulated multibody-based adaptive coarse grain simulation of RNA
  6. Mohammad Poursina, Kishor D. Bhalerao, Samuel C. Flores , Kurt S. Anderson, Alain Laederach

  7. Modeling Loop Entropy
  8. Gregory S. Chirikjian

  9. Inferring Functional Relationships and Causal Network Structure from Gene Expression Profiles
  10. Radhakrishnan Nagarajan

  11. Numerical solution of the chemical master equation: uniqueness and stability of the stationary distribution for chemical networks, and mRNA bursting in a gene network with negative feedback regulation
  12. E. S. Zeron, M. Santill_an

  13. How molecular should your molecular model be? On the level of molecular detail required to simulate biological networks in systems and synthetic biology
  14. Didier Gonze, Wassim Abou-Jaoudé, Adama Ouattara, and Jose Halloy

  15. Computational modelling of biological pathways by executable biology
  16. Maria Luisa Guerriero John K. Heath

  17. Computing Molecular Fluctuations in Biochemical Reaction Systems Based on A Mechanistic, Statisitical Theory of Irreversible Processes
  18. Don Kulasiri

  19. Probing the input-output behaviour of biochemical and genetic systems: system identification methods from control theory
  20. David McMillen, Brian Ingalls, Jordan Ang

  21. Biochemical pathway modelling tools for drug target detection in cancer and other complex diseases
  22. Alberto Marin-Sanguino, Shailendra K. Gupta, Eberhard O. Voit and Julio Vera

  23. Deterministic and Stochastic Simulation and Analysis of Biochemical Reaction Networks: The Lactose Operon Example
  24. Necmettin Yildirim, Caner Kazanci F

  25. Multivariate Neighborhood Sample Entropy: A method for data reduction and prediction of complex data.
  26. Joshua S. Richman MD, PhD

  27. Scaling differences of heartbeat excursions between wake and sleep periods
  28. L. Guzmán-Vargas, I. Reyes-Ramírez, R. Hernández-Pérez, F. Angulo-Brown

  29. Changepoint analysis for single-molecule polarized totalinternal reflection fluorescence microscopy experiments
  30. John F. Beausang, Yale E. Goldman, and Philip C. Nelson

  31. Inferring mechanisms from dose-response curves
  32. Carson C. Chow, Karen M. Ong, Edward J. Dougherty, and S. Stoney Simons, Jr.

  33. Spatial Aspects in Biological System Simulations
  34. Haluk Resat, Michelle N. Costa, and Harish Shankaran

  35. Computational Approaches to Modeling Viral Structure and Assembly
  36. Stephen C. Harvey, Anton S. Petrov, Batsal Devkota and Mustafa Burak Boz

  37. An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
  38. Andrew Leaver-Fay, Michael Tyka, Steven M. Lewis, Oliver F. Lange, James Thompson, Ron Jacak, Kristian Kaufman, P. Douglas Renfrew, Colin A. Smith, Will Sheffler, Ian W. Davis, Seth Cooper, Adrien Treuille, Daniel J. Mandell, Florian Richter, Yih-En Andrew Ban, Sarel J. Fleishman, Jacob E. Corn, David E. Kim, Sergey Lyskov, Monica Berrondo, Stuart Mentzer, Zoran Popović, James J. Havranek, John Karanicolas, Rhiju Das, Jens Meiler, Tanja Kortemme, Jeffrey J. Gray, Brian Kuhlman1, David Baker, and Philip Bradley

  39. Computational Design of Intermolecular Stability and Specificity in Protein Self-Assembly

Vikas Nanda, Sohail Zahid, Fei Xu, Daniel Levine

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Computer Methods, Part C 5 out of 5 based on 0 ratings. 3 reviews.
Anonymous More than 1 year ago
Walks in, his face hidden under his hat.
Anonymous More than 1 year ago
See ya
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