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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

A special local clustering algorithm for identifying the genes associated with Alzheimer's disease

Chao-Yang Pang1, Wei Hu, Ben-Qiong Hu

  • 1Biomedical Informatics and Cheminformatics Group, Conjugate and Medicinal Chemistry Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. cpang@bwh.harvard.edu

IEEE Transactions on Nanobioscience
|January 22, 2010
PubMed
Summary

A novel special local clustering (SLC) algorithm identifies genes potentially linked to Alzheimer's disease (AD). By analyzing gene expression patterns, SLC can pinpoint genes associated with AD progression.

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