Table of Contents

Cover image

Title page

Copyright

List of figures and tables

Preface

About the author

Chapter 1: Introduction

Abstract:

1.1 Complex systems: From uncertainty to predictability

1.2 Harnessing omics technology

1.3 Bioinformatics: From theory to practice

1.4 Take home messages

Chapter 2: Genomics

Abstract:

2.1 Introduction

2.2 The human genome and variome

2.3 Genomic platforms and platform level analysis

2.4 Study designs and contrast level analysis of GWAS

2.5 Adaptive exploration of interactions of multiple genes

2.6 Somatic genomic alterations and cancer

2.7 Case studies

2.8 Take home messages

Chapter 3: Transcriptomics

Abstract:

3.1 Introduction

3.2 Transcriptomic platforms at a glance

3.3 Platform level analysis for transcriptomics

3.4 Contrast level analysis and global visualization

3.5 Module level analysis

3.6 Systems level analysis for causal inference

3.7 RNA secondary structure analysis

3.8 Case studies

3.9 Take home messages

Chapter 4: Proteomics

Abstract:

4.1 Introduction

4.2 Proteomics platforms at a glance

4.3 Protein identification by MS based proteomics

4.4 From protein sequences to structures

4.5 Protein interaction networks

4.6 Case studies

4.7 Take home messages

Chapter 5: Systems biomedical science

Abstract:

5.1 Introduction

5.2 Cell level technology and resources at a glance

5.3 Conceptual frameworks from top-down

5.4 Systems construction from bottom-up and top-down

5.5 Specific directions of systems biomedical science

5.6 Case studies

5.7 Take home messages

Chapter 6: Clinical developments

Abstract:

6.1 Fulfilling unmet medical needs

6.2 Translational medicine

6.3 Clinical product development

6.4 Critical use of clinical information

6.5 Case studies

6.6 Take home messages

Chapter 7: Conclusions

Abstract:

7.1 Change and move forward

7.2 Presentation, presentation, presentation

7.3 Domain knowledge plus adaptivity

Index

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