Buch, Englisch, 370 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 860 g
Buch, Englisch, 370 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 860 g
ISBN: 978-0-12-388403-9
Verlag: Academic Press
Focuses on Computational Methods in Cell Biology Split into 2 parts - data extraction and analysis to distill models and mechanisms, and developing and simulating models to make predictions and testable hypotheses. Emphasizes the intimate and necessary connection with interpreting experimental data and proposing the next hypothesis and experiment.
Zielgruppe
Researchers and students in cell, molecular and developmental biology
Fachgebiete
Weitere Infos & Material
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
