ORCID
- Pan, Genhua: 0000-0002-2678-7898
- Ifeachor, Emmanuel: 0000-0001-8362-6292
Abstract
Blood-based biomarkers for Alzheimer’s disease would be very valuable because blood is a more accessible biofluid and is suitable for repeated sampling. However, currently there are no robust and reliable blood-based biomarkers for practical diagnosis. In this study we used a knowledge-based protein feature pool and two novel support vector machine embedded feature selection methods to find panels consisting of two and three biomarkers. We validated these biomarker sets using another serum cohort and an RNA profile cohort from the brain. Our panels included the proteins ECH1, NHLRC2, HOXB7, FN1, ERBB2, and SLC6A13 and demonstrated promising sensitivity (>87%), specificity (>91%), and accuracy (>89%).
DOI
10.1155/2016/4250480
Publication Date
2016-05-04
Publication Title
Disease Markers
Volume
2016
ISSN
0278-0240
Organisational Unit
School of Engineering, Computing and Mathematics
Recommended Citation
Long, J., Pan, G., Ifeachor, E., Belshaw, R., & Li, X. (2016) 'Discovery of Novel Biomarkers for Alzheimer's Disease from Blood', Disease Markers, 2016. Available at: https://doi.org/10.1155/2016/4250480
