From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration

From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration

Abstract Background Deep mining of healthcare data has provided maps of comorbidity relationships between diseases. In parallel, integrative multi-omics investigations have generated high-resolution molecular maps of putative relevance for understanding disease initiation and progression. Yet, it is...

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Bibliographic Details
Main Authors: David Gomez-Cabrero, Jörg Menche, Claudia Vargas, Isaac Cano, Dieter Maier, Albert-László Barabási, Jesper Tegnér, Josep Roca, on behalf of Synergy-COPD Consortia
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Bioinformatics
Online Access:http://link.springer.com/article/10.1186/s12859-016-1291-3

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http://link.springer.com/article/10.1186/s12859-016-1291-3

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