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Computational Stem Cell Biology: Methods and Protocols by Patrick Cahan (English
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A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Item specifics
- Condition
- Book Title
- Computational Stem Cell Biology
- ISBN-13
- 9781493992232
- ISBN
- 9781493992232
About this product
Product Identifiers
Publisher
Springer New York
ISBN-10
1493992236
ISBN-13
9781493992232
eBay Product ID (ePID)
2309439906
Product Key Features
Number of Pages
Xi, 456 Pages
Publication Name
Computational Stem Cell Biology : Methods and Protocols
Language
English
Publication Year
2019
Subject
Microbiology, Life Sciences / Cell Biology, Life Sciences / Developmental Biology, Life Sciences / Biology
Type
Textbook
Subject Area
Science, Medical
Series
Methods in Molecular Biology Ser.
Format
Hardcover
Dimensions
Item Weight
38.8 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Series Volume Number
1975
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Agent-Based Modeling to Delineate Spatiotemporal Control Mechanisms of the Stem Cell Niche.- Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks.- Cell Population Model to Track Stochastic Cellular Decision-Making during Differentiation.- Automated Formal Reasoning to Uncover Molecular Programs of Self-Renewal.- Mathematical Modeling of Clonal Stem Cell Dynamics.- Computational Tools for Quantifying Concordance in Single Cell Fate.- Quantitative Modeling of the Waddington Epigenetic Landscape.- Modeling Gene Networks to Understand Multistability in Stem Cells.- Trajectory Algorithms to Infer Stem Cell Fate Decisions.- Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate Decisions.- Reconstructing Gene Regulatory Networks that Control Hematopoietic Commitment.- Investigating Cell Fate Decisions with ICGS Analysis of Single Cells.- Lineage Inference and Stem Cell Identity Prediction using Single Cell RNA-Sequencing Data.- Dynamic Network Modeling of Stem Cell Metabolism.- Metabolomics in Stem Cell Biology Research.- Molecular Interaction Networks to Select Factors for Cell Conversion.- A Computational Approach for Cell Fate Reprogramming.- Computational Analysis of Aneuploidy in Pluripotent Stem Cells.- Cell Fate Engineering Tools for iPSC Disease Modeling.
Synopsis
Preface...Table of Contents...Contributing Authors... Part I Modeling 1. Agent-Based Modeling to Delineate Spatiotemporal Control Mechanisms of the Stem Cell NicheRobert Mines, Kai-Yuan Chen, and Xiling Shen 2. Modeling Cellular Differentiation and Reprogramming with Gene Regulatory NetworksAndrás Hartmann, Srikanth Ravichandran, and Antonio del Sol 3. Cell Population Model to Track Stochastic Cellular Decision-Making during Differentiation Keith Task and Ipsita Banerjee 4. Automated Formal Reasoning to Uncover Molecular Programs of Self-RenewalSara-Jane Dunn 5. Mathematical Modeling of Clonal Stem Cell DynamicsPhilip Greulich 6. Computational Tools for Quantifying Concordance in Single Cell FateJ.A. Cornwell and R.E. Nordon 7. Quantitative Modeling of the Waddington Epigenetic LandscapeAtefeh Taherian Fard and Mark A. Ragan 8. Modeling Gene Networks to Understand Multistability in Stem CellsDavid Menn and Xiao Wang Part II Single Cell Approaches 9. Trajectory Algorithms to Infer Stem Cell Fate DecisionsEdroaldo Lummertz da Rocha and Mohan Malleshaiah 10. Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate DecisionsThalia E. Chan, Michael P.H. Stumpf, and Ann C. Babtie 11. Reconstructing Gene Regulatory Networks that Control Hematopoietic CommitmentFiona K. Hamey and Berthold Göttgens 12. Investigating Cell Fate Decisions with ICGS Analysis of Single CellsNathan Salomonis 13. Lineage Inference and Stem Cell Identity Prediction using Single Cell RNA-Sequencing DataSagar and Dominic Grün Part III Metabolism 14. Dynamic Network Modeling of Stem Cell MetabolismFangzhou Shen, Camden Cheek, and Sriram Chandrasekaran 15. Metabolomics in Stem Cell Biology ResearchSun Zhen, Jing Zhao, Hua Yu, Chenyang Zhang, Hu Li, Zhongda Zeng, and Jin Zhang Part IV Assessing and Improving Cell Fate Engineering 16. Molecular Interaction Networks to Select Factors for Cell ConversionJohn F. Ouyang, Uma S. Kamaraj, Jose M. Polo, Julian Gough, and Owen J. L. Rackham 17. A Computational Approach for Cell Fate ReprogrammingHussein M. Abdallah and Domitilla Del Vecchio 18. Computational Analysis of Aneuploidy in Pluripotent Stem CellsUri Weissbein 19. Cell Fate Engineering Tools for iPSC Disease ModelingEmily K. W. Lo and Patrick Cahan, This volume details methods and protocols to further the study of stem cells within the computational stem cell biology (CSCB) field. Chapters are divided into four sections covering the theory and practice of modeling of stem cell behavior, analyzing single cell genome-scale measurements, reconstructing gene regulatory networks, and metabolomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Stem Cell Biology: Methods and Protocols will be an invaluable guide to researchers as they explore stem cells from the perspective of computational biology.
LC Classification Number
QH588.S83
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Seller feedback (1,436)
- 6***s (163)- Feedback left by buyer.Past monthVerified purchaseAs described; packaged safely and shipped quickly. BRAVO!
- a***o (1102)- Feedback left by buyer.Past monthVerified purchaseThanks
- 4***i (875)- Feedback left by buyer.Past monthVerified purchaseArrived quickly and as described by the seller