Pathprinting: An integrative approach to understand the functional basis of disease

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Pathprinting: An integrative approach to understand the functional basis of disease

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Title: Pathprinting: An integrative approach to understand the functional basis of disease
Author: Altschuler, Gabriel M; Hofmann, Oliver Marc; Kalatskaya, Irina; Payne, Rebecca; Ho Sui, Shannan; Saxena, Uma; Krivtsov, Andrei V; Armstrong, Scott A; Cai, Tianxi; Stein, Lincoln; Hide, Winston

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Citation: Altschuler, Gabriel M, Oliver Hofmann, Irina Kalatskaya, Rebecca Payne, Shannan J Ho Sui, Uma Saxena, Andrei V Krivtsov, et al. 2013. “Pathprinting: An Integrative Approach to Understand the Functional Basis of Disease.” Genome Medicine 5 (7): 68.
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Abstract: New strategies to combat complex human disease require systems approaches to biology that integrate experiments from cell lines, primary tissues and model organisms. We have developed Pathprint, a functional approach that compares gene expression profiles in a set of pathways, networks and transcriptionally regulated targets. It can be applied universally to gene expression profiles across species. Integration of large-scale profiling methods and curation of the public repository overcomes platform, species and batch effects to yield a standard measure of functional distance between experiments. We show that pathprints combine mouse and human blood developmental lineage, and can be used to identify new prognostic indicators in acute myeloid leukemia. The code and resources are available at http://compbio.sph.harvard.edu/hidelab/pathprint
Published Version: doi:10.1186/gm472
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12605447
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