Translational bioinformatics for therapeutic development
著者
書誌事項
Translational bioinformatics for therapeutic development
（Methods in molecular biology / John M. Walker, series editor, 2194）（Springer protocols）
Humana Press, c2021
- : [hardback]
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
1. Development and Optimization of Clinical Informatics Infrastructure to Support Bioinformatics at an Oncology Center
Randa M. Perkins and Joseph Markowitz
2. Leveraging Pathology Informatics Concepts to Achieve Discrete Lab Data for Clinical Use and Translational Research
Mandy Flannery O'Leary
3. Cohort Identification for Translational Bioinformatics Studies
Tiffany A. Lin, Zeynep Eroglu, Rodrigo Carvajal, and Joseph Markowitz
4. Transitioning Clinical Practice Guidelines into the Electronic Health Record through Clinical Pathways
Sharjeel M. Hooda and Karen K. Fields
5. Variable Selection for Time-to-Event Data
Ai Ni and Chi Song
6. Binary Classification for Failure Risk Assessment
Ali Foroughi pour, Ian Loveless, Grzegorz Rempala and Maciej Pietrzak
7. Challenges and Opportunities of Genomic Approaches in Therapeutics Development
Jaimie S. Gray and Moray J. Campbell
8. 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, and Robert J. Rounbehler
9. Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments
Xiaoqing Yu, Farnoosh Abbas-Aghababazadeh, Y. Ann Chen, and Brooke L. Fridley
10. Investigating Inter- and Intra-Sample Diversity of Single-Cell RNA Sequencing Datasets
Meghan C. Ferrall-Fairbanks and Philipp M. Altrock
11. Managing a Large-scale Multi-Omics Project: A Team Science Case Study in Proteogenomics
Paul A. Stewart, Eric A. Welsh, Bin Fang, Victoria Izumi, Tania Mesa, Chaomei Zhang, Sean Yoder, Guolin Zhang, Ling Cen, Fredrik Pettersson, Yonghong Zhang, Zhihua Chen, Chia-Ho Cheng, Ram Thapa, Zachary Thompson, Melissa Avedon, Marek Wloch, Michelle Fournier, Katherine M. Fellows, Jewel M. Francis, James J. Saller, Theresa A. Boyle, Y. Ann Chen, Eric B. Haura, Jamie K. Teer, Steven A. Eschrich, and John M. Koomen
12. Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models
Tianyu Zhang, Liwei Zhang, Philip R.O. Payne, and Fuhai Li
13. Introduction to Multi-Parametric Flow Cytometry and Analysis of High-Dimensional Data
James Sun, Jodi L. Kroeger, and Joseph Markowitz
14. 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. Mule, and Adam W Mailloux
15. Quantitative Analysis of Bile Acid with UHPLC-MS/MS
Yuan Tian, Jingwei Cai, Erik L. Allman, Philip B. Smith, and Andrew D. Patterson
16. Sample Preparation and Data Analysis for NMR-based Metabolomics
Tapas K. Mal, Yuan Tian, and Andrew D. Patterson
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