학술논문

Gene prioritization through geometric-inspired kernel data fusion
Document Type
Conference
Source
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on. :1559-1565 Nov, 2015
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Genomics
Bioinformatics
Lead
Biological system modeling
Support vector machines
Biological information theory
Kernel
gene prioritization
data fusion
geometric kernel data fusion
Log-Euclidean mean
OMIM
Language
Abstract
In biology there is often the need to discover the most promising genes, among a large list of candidate genes, to further investigate. While a single data source might not be effective enough, integrating several complementary genomic data sources leads to more accurate prediction.