John Bartlett,Paul Boutros,Victoria Sabine,Syed Haider,Maud H.W. Starmans,Cindy Qianli Yao,Jianxin Wang
申请号：
US15328108
公开号：
US20170218456A1
申请日:
2015.07.23
申请国别(地区):
US
年份:
2017
代理人:
摘要：
Methods, systems, devices and computer implemented methods of prognosing or classifying patients using a biomarker comprising a plurality of subnetwork modules are disclosed. In some embodiments, the method comprises determining an activity of a plurality of genes in a test sample of a patient, wherein the plurality of genes are associated with the plurality of subnetwork modules. An expression profile is constructed using the activity of the plurality of genes. The dysregulation of each of the plurality of subnetwork modules is determined by calculating a score proportional to a degree of dysregulation in each of the plurality of subnetwork modules from the expression profile. The patient is prognosed or classified by inputting each dysregulation score into a model for predicting patient outcomes for patients having a disease, and inputting a clinical indicator of the patient into the model, to obtain a risk associated with the disease.
