Kernel-based data fusion for gene prioritization
نویسندگان
چکیده
منابع مشابه
Kernel-based data fusion for gene prioritization
MOTIVATION Hunting disease genes is a problem of primary importance in biomedical research. Biologists usually approach this problem in two steps: first a set of candidate genes is identified using traditional positional cloning or high-throughput genomics techniques; second, these genes are further investigated and validated in the wet lab, one by one. To speed up discovery and limit the numbe...
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Data integration procedures combine heterogeneous data sets into predictive models, but they are limited to data explicitly related to the target object type, such as genes. Collage is a new data fusion approach to gene prioritization. It considers data sets of various association levels with the prediction task, utilizes collective matrix factorization to compress the data, and chaining to rel...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2007
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btm187