Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection
Undetected errors in the expression measurements from highthroughput DNA microarrays and protein spectroscopy could seriously affect the diagnostic reliability in disease detection. In addition to a high resilience against such errors, diagnostic models need to be more comprehensible so that a deepe...
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Main Authors: | YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2007
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Online Access: | https://ink.library.smu.edu.sg/sis_research/394 https://ink.library.smu.edu.sg/context/sis_research/article/1393/viewcontent/Learning_Causal_Models_for_Noisy_Biological_Data_Mining__An_Application_to_Ovarian_Cancer_Detection_edited_.pdf |
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Institution: | Singapore Management University |
Language: | English |
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