Dimensionality Reduction in Gene Expression Data Sets
نویسندگان
چکیده
منابع مشابه
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data
Class prediction is an important application of microarray gene expression data analysis. The high-dimensionality of microarray data, where number of genes (variables) is very large compared to the number of samples (observations), makes the application of many prediction techniques (e.g., logistic regression, discriminant analysis) difficult. An efficient way to solve this problem is by using ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2915519