Related Experiment Video
Updated: Jun 26, 2026

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
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.
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.
Failed At:
2026-06-19T13:36:16.462332+00:00
More Related Videos
04:22Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles
Published on: May 20, 2024
09:47DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
Related Concept Videos
DNA Microarrays
Alzheimer Disease ll: Pathophysiology
Alzheimer Disease l: Introduction
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...