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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sg-ntu-dr.10356-606412020-11-10T08:09:21Z Multi-resolution functional summarization and alignment of biological network models Seah, Boon Siew C. Forbes Dewey, Jr. Sourav Saha Bhowmick School of Computer Engineering Singapore-MIT Alliance Programme DRNTU::Engineering::Computer science and engineering 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. DOCTOR OF PHILOSOPHY (SCE) 2014-05-29T03:29:53Z 2014-05-29T03:29:53Z 2014 2014 Thesis Seah, B. S. (2014). Multi-resolution functional summarization and alignment of biological network models. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/60641 10.32657/10356/60641 en 245 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Seah, Boon Siew Multi-resolution functional summarization and alignment of biological network models |
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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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C. Forbes Dewey, Jr. |
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C. Forbes Dewey, Jr. Seah, Boon Siew |
format |
Theses and Dissertations |
author |
Seah, Boon Siew |
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Seah, Boon Siew |
title |
Multi-resolution functional summarization and alignment of biological network models |
title_short |
Multi-resolution functional summarization and alignment of biological network models |
title_full |
Multi-resolution functional summarization and alignment of biological network models |
title_fullStr |
Multi-resolution functional summarization and alignment of biological network models |
title_full_unstemmed |
Multi-resolution functional summarization and alignment of biological network models |
title_sort |
multi-resolution functional summarization and alignment of biological network models |
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2014 |
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https://hdl.handle.net/10356/60641 |
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1688654659533668352 |