Nature Communications (Nov 2018)
Pathway-based subnetworks enable cross-disease biomarker discovery
- Syed Haider,
- Cindy Q. Yao,
- Vicky S. Sabine,
- Michal Grzadkowski,
- Vincent Stimper,
- Maud H. W. Starmans,
- Jianxin Wang,
- Francis Nguyen,
- Nathalie C. Moon,
- Xihui Lin,
- Camilla Drake,
- Cheryl A. Crozier,
- Cassandra L. Brookes,
- Cornelis J. H. van de Velde,
- Annette Hasenburg,
- Dirk G. Kieback,
- Christos J. Markopoulos,
- Luc Y. Dirix,
- Caroline Seynaeve,
- Daniel W. Rea,
- Arek Kasprzyk,
- Philippe Lambin,
- Pietro Lio’,
- John M. S. Bartlett,
- Paul C. Boutros
Affiliations
- Syed Haider
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Cindy Q. Yao
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Vicky S. Sabine
- Diagnostic Development Program, Ontario Institute for Cancer Research
- Michal Grzadkowski
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Vincent Stimper
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Maud H. W. Starmans
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Jianxin Wang
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Francis Nguyen
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Nathalie C. Moon
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Xihui Lin
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Camilla Drake
- Diagnostic Development Program, Ontario Institute for Cancer Research
- Cheryl A. Crozier
- Diagnostic Development Program, Ontario Institute for Cancer Research
- Cassandra L. Brookes
- Cancer Research UK Clinical Trials Unit, University of Birmingham
- Cornelis J. H. van de Velde
- Leiden University Medical Center
- Annette Hasenburg
- University Hospital
- Dirk G. Kieback
- Klinikum Vest Medical Center
- Christos J. Markopoulos
- Athens University Medical School
- Luc Y. Dirix
- St. Augustinus Hospital
- Caroline Seynaeve
- Erasmus Medical Center-Daniel den Hoed
- Daniel W. Rea
- Cancer Research UK Clinical Trials Unit, University of Birmingham
- Arek Kasprzyk
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- Philippe Lambin
- Department of Radiation Oncology (Maastro), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center
- Pietro Lio’
- Computer Laboratory, University of Cambridge
- John M. S. Bartlett
- Diagnostic Development Program, Ontario Institute for Cancer Research
- Paul C. Boutros
- Informatics and Biocomputing Program, Ontario Institute for Cancer Research
- DOI
- https://doi.org/10.1038/s41467-018-07021-3
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 12
Abstract
Accurate and actionable biomarkers that integrate diverse molecular, functional and clinical information hold great promise in precision medicine. Here, the authors develop SIMMS, a method for pathway-based cross-disease biomarker discovery.
