Effective visualization of human cancer signalling network
Cancer has long been a leading cause of death. With numerous efforts in understanding its cause and treatments, a human signalling network has emerged. However, it is challenging to visualize this complex network and the rich attributes of genes. To address this problem, this project proposes Canc...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166125 |
| _version_ | 1811697128857141248 |
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| author | Wang, Qiaochu |
| author2 | Sourav S Bhowmick |
| author_facet | Sourav S Bhowmick Wang, Qiaochu |
| author_sort | Wang, Qiaochu |
| collection | NTU |
| description | Cancer has long been a leading cause of death. With numerous efforts in understanding its cause and treatments, a human signalling network has emerged. However,
it is challenging to visualize this complex network and the rich attributes of genes. To
address this problem, this project proposes CancerVis, an interactive user interface for
cancer signalling network visualization. It allows user to dynamically manipulate the
network according their attributes and related pathways. Moreover, cognitive loadaware layout is added to the application to make the network more readable. |
| first_indexed | 2024-10-01T07:50:20Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/166125 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:50:20Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1661252023-04-28T15:40:18Z Effective visualization of human cancer signalling network Wang, Qiaochu Sourav S Bhowmick School of Computer Science and Engineering ASSourav@ntu.edu.sg Engineering::Computer science and engineering::Computer applications Cancer has long been a leading cause of death. With numerous efforts in understanding its cause and treatments, a human signalling network has emerged. However, it is challenging to visualize this complex network and the rich attributes of genes. To address this problem, this project proposes CancerVis, an interactive user interface for cancer signalling network visualization. It allows user to dynamically manipulate the network according their attributes and related pathways. Moreover, cognitive loadaware layout is added to the application to make the network more readable. Bachelor of Engineering (Computer Science) 2023-04-24T00:44:12Z 2023-04-24T00:44:12Z 2023 Final Year Project (FYP) Wang, Q. (2023). Effective visualization of human cancer signalling network. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166125 https://hdl.handle.net/10356/166125 en SCSE22-0325 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computer applications Wang, Qiaochu Effective visualization of human cancer signalling network |
| title | Effective visualization of human cancer signalling network |
| title_full | Effective visualization of human cancer signalling network |
| title_fullStr | Effective visualization of human cancer signalling network |
| title_full_unstemmed | Effective visualization of human cancer signalling network |
| title_short | Effective visualization of human cancer signalling network |
| title_sort | effective visualization of human cancer signalling network |
| topic | Engineering::Computer science and engineering::Computer applications |
| url | https://hdl.handle.net/10356/166125 |
| work_keys_str_mv | AT wangqiaochu effectivevisualizationofhumancancersignallingnetwork |