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Table of Contents:

Chapter 1: Introduction
1.1 Background
1.2 Research Problem
1.3 Research Questions
1.4 Significance of the Study
1.5 Objectives of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Systems Biology
2.2 Topological Data Analysis
2.3 Previous Studies on Topological Data Analysis in Systems Biology
2.4 Gaps in Current Research

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Case Studies

Chapter 4: Discussion of Findings
4.1 Analysis of Topological Data in Systems Biology
4.2 Comparison of Different Methodologies
4.3 Interpretation of Results
4.4 Implications of Findings

Chapter 5: Conclusion and Summary
5.1 Recap of Key Findings
5.2 Contributions to the Field
5.3 Recommendations for Future Research
5.4 Conclusion

Brief Overview:

Topological data analysis (TDA) is a novel approach in systems biology that utilizes mathematical techniques to analyze complex biological systems. This thesis aims to explore the application of TDA in systems biology, specifically focusing on its ability to uncover hidden patterns and structures in biological data.

Chapter 1 provides an introduction to the research problem, objectives, limitations, and scope of the study. Chapter 2 reviews the existing literature on systems biology and TDA, highlighting gaps in current research. Chapter 3 outlines the research methodology, including data collection and analysis methods. Chapter 4 discusses the findings of the study, analyzing the results and their implications for systems biology. Finally, Chapter 5 offers a conclusion and summary of the thesis, highlighting key findings and suggesting directions for future research in the field of TDA in systems biology.

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