Gregory J Welk, Pedro F Saint-Maurice, Philip M Dixon, Paul R Hibbing, Yang Bai, Gabriella M McLoughlin, Michael Pereira da Silva
Calibration of the Online Youth Activity Profile Assessment for School-Based Applications
Journal for the measurement of physical behaviour
tumor microenvironment widely recognized central role driving cancer progression influencing prognostic outcomes despite extensive research efforts dedicated characterizing complex heterogeneous environment considerable challenges persist study introduce datadriven approach identifying patterns cell organizations tumor microenvironment associated patient prognoses methodology relies construction bilevel graph model cellular graph models intricate tumor microenvironment ii population graph captures interpatient similarities given respective cellular graphs means soft weisfeilerlehman subtree kernel systematic integration information across different scales enables us identify patient subgroups exhibiting unique prognoses unveiling tumor microenvironment patterns characterize demonstrate approach cohort breast cancer patients identified tumor microenvironment patterns result risk stratification system provides complementary new information respect alternative standards results validated completely independent cohort allow new insights prognostic implications breast tumor microenvironment methodology could applied cancer types generally