Early Cancer Detection from Multianalyte Blood Test Results
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 332-341 |
Number of pages | 9 |
Journal / Publication | iScience |
Volume | 15 |
Online published | 4 May 2019 |
Publication status | Published - 31 May 2019 |
Link(s)
DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85066313563&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(29bd21b0-4eaf-4337-99d0-8b7d79f1a152).html |
Abstract
The early detection of cancers has the potential to save many lives. A recent attempt has been demonstrated successful. However, we note several critical limitations. Given the central importance and broad impact of early cancer detection, we aspire to address those limitations. We explore different supervised learning approaches for multiple cancer type detection and observe significant improvements; for instance, one of our approaches (i.e., CancerA1DE) can double the existing sensitivity from 38% to 77% for the earliest cancer detection (i.e., Stage I) at the 99% specificity level. For Stage II, it can even reach up to about 90% across multiple cancer types. In addition, CancerA1DE can also double the existing sensitivity from 30% to 70% for detecting breast cancers at the 99% specificity level. Data and model analysis are conducted to reveal the underlying reasons. A website is built at http://cancer.cs.cityu.edu.hk/.
Research Area(s)
- Algorithms, Bioinformatics, Biological Sciences, Cancer, Cancer Systems Biology
Citation Format(s)
Early Cancer Detection from Multianalyte Blood Test Results. / Wong, Ka-Chun; Chen, Junyi; Zhang, Jiao et al.
In: iScience, Vol. 15, 31.05.2019, p. 332-341.
In: iScience, Vol. 15, 31.05.2019, p. 332-341.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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