Independent component analysis of Alzheimer's DNA microarray gene expression data

Wei Kong1, Xiaoyang Mou, Qingzhong Liu

  • 1Biomedical Informatics and Cheminformatics Group, Conjugate and Medicinal Chemistry Laboratory, Division of Nuclear Medicine and Molecular Imaging and Center for Advanced Medical Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. xhuang3@partners.org.

Summary

Independent component analysis (ICA) effectively analyzes complex microarray data, identifying more Alzheimer's disease (AD) genes than PCA or SVM-RFE. This approach aids in understanding AD pathogenesis and developing new diagnostic strategies.

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