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Computational Cell Biology

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Cover of 'Computational Cell Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Rule-Based Models and Applications in Biology
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    Chapter 2 Optimized Protein–Protein Interaction Network Usage with Context Filtering
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    Chapter 3 SignaLink: Multilayered Regulatory Networks
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    Chapter 4 Interplay Between Long Noncoding RNAs and MicroRNAs in Cancer
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    Chapter 5 Methods and Tools in Genome-wide Association Studies
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    Chapter 6 Identifying Differentially Expressed Genes Using Fluorescence-Activated Cell Sorting (FACS) and RNA Sequencing from Low Input Samples
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    Chapter 7 Computational and Experimental Approaches to Predict Host–Parasite Protein–Protein Interactions
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    Chapter 8 An Integrative Approach to Virus–Host Protein–Protein Interactions
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    Chapter 9 The SQUAD Method for the Qualitative Modeling of Regulatory Networks
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    Chapter 10 miRNet—Functional Analysis and Visual Exploration of miRNA–Target Interactions in a Network Context
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    Chapter 11 Systems Biology Analysis to Understand Regulatory miRNA Networks in Lung Cancer
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    Chapter 12 Spatial Analysis of Functional Enrichment (SAFE) in Large Biological Networks
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    Chapter 13 Toward Large-Scale Computational Prediction of Protein Complexes
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    Chapter 14 Computational Models of Cell Cycle Transitions
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    Chapter 15 Simultaneous Profiling of DNA Accessibility and Gene Expression Dynamics with ATAC-Seq and RNA-Seq
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    Chapter 16 Computational Network Analysis for Drug Toxicity Prediction
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    Chapter 17 Modeling the Epigenetic Landscape in Plant Development
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    Chapter 18 Developing Network Models of Multiscale Host Responses Involved in Infections and Diseases
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    Chapter 19 Exploring Dynamics and Noise in Gonadotropin-Releasing Hormone (GnRH) Signaling
Overall attention for this book and its chapters
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Title
Computational Cell Biology
Published by
Springer New York, July 2018
DOI 10.1007/978-1-4939-8618-7
ISBNs
978-1-4939-8617-0, 978-1-4939-8618-7
Editors

Louise von Stechow, Alberto Santos Delgado

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%