With rapid accumulation of public gene expression data,meta-analysis to combine multiple transcriptomic studies for biomarker detection improves detection accuracy and robustness.
A solid tumor sample consists of mixed populations of cells,normal cells and cancer cells.Heterogeneity among cancer cells is further explained by multiple distinct tumor subclones.
This paper studies nonlinear cointegration models in which the structural coefficients may evolve smoothly over time,and considers time-varying coefficient functions estimated by nonparametric kernel
Large administrative data from healthcare claims and electronic health records provide significant opportunities for health services,drug safety,and other health research,due to large sample sizes and
In many applications where both predictors and responses are collected across geographical regions over time,the impacts of predictors to responses are often not static but time-varying.
Semi-competing risks data arise when two types of events,non-terminal and terminal,may be observed.When the terminal event occurs first,it censors the non-terminal event.
When searching for gene pathways leading to specific disease outcomes,we propose to take advantage of additional information on gene characteristics to differentiate genes of interests from irrelevant