Computational Methods in Cell Biology: Volume 110
Published on 31. May 2012
Book
Hardback
370 pages
978-0-12-388403-9 (ISBN)
Description
Computational methods are playing an ever increasing role in cell biology. This volume of Methods in Cell Biology focuses on Computational Methods in Cell Biology and consists of two parts: (1) data extraction and analysis to distill models and mechanisms, and (2) developing and simulating models to make predictions and testable hypotheses.
More details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Researchers and students in cell, molecular and developmental biology
Dimensions
Height: 235 mm
Width: 191 mm
Weight
860 gr
ISBN-13
978-0-12-388403-9 (9780123884039)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Content
Principles of model building: an experimentation-aided approach to development of models for signaling networks
Integrated Inference and Analysis of Regulatory Networks From Multi-Level Measurements
Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasets
A framework for modeling the relationship between cellular steady-state and stimulus-responsiveness
Stochastic Modeling of Cellular Networks
Quantifying Traction Stresses in Adherent Cells
CellOrganizer: Image-derived Models of Subcellular Organization and Protein Distribution
Spatial Modeling of Cell Signaling Networks
Stochastic models of cell protrusion arising from spatiotemporal signaling and adhesion dynamics
Nonparametric Variable Selection and Modeling for Spatial and Temporal Regulatory Networks
Quantitative Models of the Mechanisms that Control Genome-Wide Patterns of Animal Transcription Factor Binding
Computational Analysis of Live Cell Images of the Arabidopsis thaliana Plant
Multi-scale modeling of tissues using CompuCell3D
Multiscale Model of Fibrin Accumulation on the Blood Clot Surface and Platelet Dynamics
Integrated Inference and Analysis of Regulatory Networks From Multi-Level Measurements
Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasets
A framework for modeling the relationship between cellular steady-state and stimulus-responsiveness
Stochastic Modeling of Cellular Networks
Quantifying Traction Stresses in Adherent Cells
CellOrganizer: Image-derived Models of Subcellular Organization and Protein Distribution
Spatial Modeling of Cell Signaling Networks
Stochastic models of cell protrusion arising from spatiotemporal signaling and adhesion dynamics
Nonparametric Variable Selection and Modeling for Spatial and Temporal Regulatory Networks
Quantitative Models of the Mechanisms that Control Genome-Wide Patterns of Animal Transcription Factor Binding
Computational Analysis of Live Cell Images of the Arabidopsis thaliana Plant
Multi-scale modeling of tissues using CompuCell3D
Multiscale Model of Fibrin Accumulation on the Blood Clot Surface and Platelet Dynamics