23 citations · 80 across the 12 of their papers we have counts for
9 papers · 1 filter
Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion
Sanguo Zhang, Xiaonan Hu, Ziye Luo +3
Heterogeneity is a hallmark of many complex diseases. There are multiple ways of defining heterogeneity, among which the heterogeneity in genetic regulations, for example GEs (gene…
An integrative sparse boosting analysis of cancer genomic commonality and difference
Yifan Sun, Zhengyang Sun, Yu Jiang +2
In cancer research, high-throughput profiling has been extensively conducted. In recent studies, the integrative analysis of data on multiple cancer patient groups/subgroups has be…
Identification of cancer omics commonality and difference via community fusion
Yifan Sun, Yu Jiang, Yang Li +1
The analysis of cancer omics data is a "classic" problem, however, still remains challenging. Advancing from early studies that are mostly focused on a single type of cancer, some…
Robust structured heterogeneity analysis approach for high-dimensional data
Yifan Sun, Ziye Luo, Xinyan Fan
Revealing relationships between genes and disease phenotypes is a critical problem in biomedical studies. This problem has been challenged by the heterogeneity of diseases. Patient…
Robust nonparametric integrative analysis to decipher heterogeneity and commonality across subgroups using sparse boosting
Zihan Li, Ziye Luo, Yifan Sun
In many biomedical problems, data are often heterogeneous, with samples spanning multiple patient subgroups, where different subgroups may have different disease subtypes, stages,…
Semiparametric integrative interaction analysis for non-small-cell lung cancer
Yang Li, Fan Wang, Rong Li +1
In the genomic analysis, it is significant while challenging to identify markers associated with cancer outcomes or phenotypes. Based on the biological mechanisms of cancers and th…
Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data
Ziye Luo, Xinyue Yao, Yifan Sun +1
Heterogeneity is a hallmark of complex diseases. Regression-based heterogeneity analysis, which is directly concerned with outcome-feature relationships, has led to a deeper unders…
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression
Xue Yu, Yifan Sun, Haijun Zhou
High-dimensional linear regression model is the most popular statistical model for high-dimensional data, but it is quite a challenging task to achieve a sparse set of regression c…
Subgroup analysis for the functional linear model
Yifan Sun, Ziyi Liu, Wu Wang
Classical functional linear regression models the relationship between a scalar response and a functional covariate, where the coefficient function is assumed to be identical for a…