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  • Book
  • © 2021

Translational Bioinformatics for Therapeutic Development

  • Includes cutting-edge methods and protocols

  • Provides step-by-step detail essential for reproducible results

  • Contains key notes and implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 2194)

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eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-1-0716-0849-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 219.99
Price excludes VAT (USA)

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Table of contents (17 protocols)

  1. Front Matter

    Pages i-xv
  2. Cohort Identification for Translational Bioinformatics Studies

    • Tiffany A. Lin, Zeynep Eroglu, Rodrigo Carvajal, Joseph Markowitz
    Pages 35-44
  3. Variable Selection for Time-to-Event Data

    • Ai Ni, Chi Song
    Pages 61-76
  4. Binary Classification for Failure Risk Assessment

    • Ali Foroughi Pour, Ian Loveless, Grzegorz Rempala, Maciej Pietrzak
    Pages 77-105
  5. Accessible Pipeline for Translational Research Using TCGA: Examples of Relating Gene Mechanism to Disease-Specific Outcomes

    • Anders E. Berglund, Ryan M. Putney, Jordan H. Creed, Garrick Aden-Buie, Travis A. Gerke, Robert J. Rounbehler
    Pages 127-142
  6. Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments

    • Xiaoqing Yu, Farnoosh Abbas-Aghababazadeh, Y. Ann Chen, Brooke L. Fridley
    Pages 143-175
  7. Investigating Inter- and Intrasample Diversity of Single-Cell RNA Sequencing Datasets

    • Meghan C. Ferrall-Fairbanks, Philipp M. Altrock
    Pages 177-186
  8. Managing a Large-Scale Multiomics Project: A Team Science Case Study in Proteogenomics

    • Paul A. Stewart, Eric A. Welsh, Bin Fang, Victoria Izumi, Tania Mesa, Chaomei Zhang et al.
    Pages 187-221
  9. Synergistic Drug Combination Prediction by Integrating Multiomics Data in Deep Learning Models

    • Tianyu Zhang, Liwei Zhang, Philip R. O. Payne, Fuhai Li
    Pages 223-238
  10. Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data

    • James Sun, Jodi L. Kroeger, Joseph Markowitz
    Pages 239-253
  11. High-Dimensional Flow Cytometry Analysis of Regulatory Receptors on Human T Cells, NK Cells, and NKT Cells

    • Ryosuke Nakagawa, Jason Brayer, Nicole Restrepo, James J. Mulé, Adam W. Mailloux
    Pages 255-290
  12. Quantitative Analysis of Bile Acid with UHPLC-MS/MS

    • Yuan Tian, Jingwei Cai, Erik L. Allman, Philip B. Smith, Andrew D. Patterson
    Pages 291-300
  13. Sample Preparation and Data Analysis for NMR-Based Metabolomics

    • Tapas K. Mal, Yuan Tian, Andrew D. Patterson
    Pages 301-313
  14. Back Matter

    Pages 315-317

About this book

This volume introduces Translational Bioinformatics as it relates to therapeutic development, and addresses the techniques needed to effectively translate large data sets to relevant biological networks. Chapters detail clinical informatics infrastructure, and leverage pathology, immunology, pharmacology, genomic, proteomic, and metabolomic informatics approaches.   Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.

 

Authoritative and practical, Translational Bioinformatics for Therapeutic Development: Methods and Protocols aims to ensure success in the study of Translational Bioinformatics.

Keywords

  • Informatics techniques
  • Data analysis
  • Translational science
  • Biological networks
  • Therapeutics

Editors and Affiliations

  • Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, USA

    Joseph Markowitz

Bibliographic Information

  • Book Title: Translational Bioinformatics for Therapeutic Development

  • Editors: Joseph Markowitz

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-0716-0849-4

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2021

  • Hardcover ISBN: 978-1-0716-0848-7

  • Softcover ISBN: 978-1-0716-0851-7

  • eBook ISBN: 978-1-0716-0849-4

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XV, 317

  • Number of Illustrations: 9 b/w illustrations, 66 illustrations in colour

  • Topics: Bioinformatics

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-1-0716-0849-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 219.99
Price excludes VAT (USA)