23 citations · 32 across the 5 of their papers we have counts for
5 papers
Bivariate Causal Discovery and its Applications to Gene Expression and Imaging Data Analysis
Rong Jiao, Nan Lin, Zixin Hu +3
The mainstream of research in genetics, epigenetics and imaging data analysis focuses on statistical association or exploring statistical dependence between variables. Despite thei…
A Quadratically Regularized Functional Canonical Correlation Analysis for Identifying the Global Structure of Pleiotropy with NGS Data
Nan Lin, Yun Zhu, Ruzong Fan +1
Investigating the pleiotropic effects of genetic variants can increase statistical power, provide important information to achieve deep understanding of the complex genetic structu…
A General Statistic Framework for Genome-based Disease Risk Prediction
L. Ma, N. Lin, C. I. Amos +1
Advances of modern sensing and sequencing technologies generate a deluge of high dimensional space-temporal physiological and next-generation sequencing (NGS) data. Physiological t…
Methods for Joint Imaging and RNA-seq Data Analysis
Junhai Jiang, Nan Lin, Shicheng Guo +2
Emerging integrative analysis of genomic and anatomical imaging data which has not been well developed, provides invaluable information for the holistic discovery of the genomic st…
Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis
Nan Lin, Junhai Jiang, Shicheng Guo +1
Due to advances in sensors, growing large and complex medical image data have the ability to visualize the pathological change in the cellular or even the molecular level or anatom…