Each week, we will be publishing layman’s abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in an accessible format.
Classification algorithm for high‐dimensional protein markers in time‐course data. Statistics in Medicine. 2020; 1– 17. https://doi.org/10.1002/sim.8720, , , .
We developed an efficient statistical procedure for the classification of protein markers according to their effect on cancer progression. A high-dimensional time-course dataset of protein markers for 80 patients motivates us for developing the model. This study elucidates the application of two separate joint modelling techniques using auto regressive-type model and mixed effect model for time-course data and proportional hazard model for survival data with proper utilization of Bayesian methodology. Also, a prognostic score is developed based on a few selected genes with an application on patients. This study facilitates to identify relevant biomarkers from a set of markers.