Multi-resolution functional summarization and alignment of biological network models
The desire to study biology from a systems perspective has led to an emergence of new science - biological networks analysis. Biological network models biological entities (e.g., proteins and genes) and their relationships (e.g., physical and genetic interactions) to characterize their cooperative a...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2014
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| Online Access: | https://hdl.handle.net/10356/60641 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The desire to study biology from a systems perspective has led to an emergence of new science - biological networks analysis. Biological network models biological entities (e.g., proteins and genes) and their relationships (e.g., physical and genetic interactions) to characterize their cooperative activity within a system. With the rapid growth of network data, the information overload problem arises and human interpretation of such data becomes impossible. Hence, there is urgent need to construct methods for large-scale functional visualization of biological networks to understand the mechanics of biological systems. |
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