TY  - JOUR
AU  - Altschuler, GM
AU  - Hofmann, O
AU  - Kalatskaya, I
AU  - Payne, R
AU  - Sui, SJH
AU  - Saxena, U
AU  - Krivtsov, AV
AU  - Armstrong, SA
AU  - Cai, T
AU  - Stein, L
AU  - Hide, WA
Y2  - 2020/12/17
Y1  - 2013/07/26
SN  - 1756-994X
UR  - http://hdl.handle.net/11343/254679
AB  - 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.
LA  - English
PB  - BMC
T1  - Pathprinting: An integrative approach to understand the functional basis of disease
DO  - 10.1186/gm472
IS  - Genome Medicine: medicine in the post-genomic era
VL  - 5
IS  - 7
L1  - /bitstream/handle/11343/254679/PMC3971351.pdf?sequence=1&isAllowed=y
ER  -