Pathway-based subnetworks enable cross-disease biomarker discovery

Biomarkers lie at the heart of precision medicine. Surprisingly, while rapid genomic profiling is becoming ubiquitous, the development of biomarkers usually involves the application of bespoke techniques that cannot be directly applied to other datasets. There is an urgent need for a systematic meth...

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Bibliographic Details
Published in:	Nature communications Vol. 9; no. 1; pp. 4746 - 12
Main Authors:	Haider, Syed, Yao, Cindy Q., Sabine, Vicky S., Grzadkowski, Michal, Stimper, Vincent, Starmans, Maud H. W., Wang, Jianxin, Nguyen, Francis, Moon, Nathalie C., Lin, Xihui, Drake, Camilla, Crozier, Cheryl A., Brookes, Cassandra L., van de Velde, Cornelis J. H., Hasenburg, Annette, Kieback, Dirk G., Markopoulos, Christos J., Dirix, Luc Y., Seynaeve, Caroline, Rea, Daniel W., Kasprzyk, Arek, Lambin, Philippe, Lio’, Pietro, Bartlett, John M. S., Boutros, Paul C.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 12.11.2018 Nature Publishing Group Nature Portfolio
Subjects:	1-Phosphatidylinositol 3-kinase 38/61 38/91 49/23 631/1647/48 639/705/1042 692/4028/67/327 692/4028/67/69 692/53/2423 Algorithms Benchmarking Biomarkers Biomarkers, Tumor - analysis Breast cancer Cell Proliferation Data integration Data processing Heart Humanities and Social Sciences Humans Mathematical models Metabolic Networks and Pathways Molecular modelling multidisciplinary Neoplasms - metabolism Phenotypes Precision medicine Prediction models Science Science (multidisciplinary) Sensory integration Signal Transduction Treatment Outcome Tumors
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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