Gene microarray

Applying the Fisher score to identify Alzheimer's disease-related genes

J. Yang, Liu, Y. L., Feng, C. S., Zhu, G. Q., Yang, J., Liu, Y. L., Feng, C. S., and Zhu, G. Q., Applying the Fisher score to identify Alzheimer's disease-related genes, vol. 15, p. -, 2016.

Biologists and scientists can use the data from Alzheimer's disease (AD) gene expression microarrays to mine AD disease-related genes. Because of disadvantages such as small sample sizes, high dimensionality, and a high level of noise, it is difficult to obtain accurate and meaningful biological information from gene expression profiles. In this paper, we present a novel approach for utilizing AD microarray data to identify the morbigenous genes. The Fisher score, a classical feature selection method, is utilized to evaluate the importance of each gene.

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