COPD subtypes identified by network-based clustering of blood gene expression.

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Published in Genomics on January 08, 2016

Authors

Yale Chang1, Kimberly Glass2, Yang-Yu Liu2, Edwin K Silverman3, James D Crapo4, Ruth Tal-Singer5, Russ Bowler4, Jennifer Dy1, Michael Cho3, Peter Castaldi6

Author Affiliations

1: Department of Computer Science, Northeastern University, Boston, USA.
2: Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, USA.
3: Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, USA; Pulmonary and Critical Care Division, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
4: Department of Medicine, National Jewish Health, Denver, USA.
5: GSK R&D, King of Prussia, PA, USA.
6: Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, USA; Division of General Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA. Electronic address: peter.castaldi@channing.harvard.edu.

Associated clinical trials:

Evaluation of COPD (Chronic Obstructive Pulmonary Disease) to Longitudinally Identify Predictive Surrogate Endpoints (ECLIPSE) | NCT00292552

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