42 citations · 74 across the 11 of their papers we have counts for
4 papers · 1 filter
Unveiling Challenges in Mendelian Randomization for Gene-Environment Interaction
Malka Gorfine, Conghui Qu, Ulrike Peters +1
Many diseases and traits involve a complex interplay between genes and environment, generating significant interest in studying gene-environment interaction through observational d…
Gaussian process regression for survival time prediction with genome-wide gene expression
Aaron J. Molstad, Li Hsu, Wei Sun
Predicting the survival time of a cancer patient based on his/her genome-wide gene expression remains a challenging problem. For certain types of cancer, the effects of gene expres…
Bootstrap inference for network construction with an application to a breast cancer microarray study
Shuang Li, Li Hsu, Jie Peng +1
Gaussian Graphical Models (GGMs) have been used to construct genetic regulatory networks where regularization techniques are widely used since the network inference usually falls i…
Learning networks from high dimensional binary data: An application to genomic instability data
Pei Wang, Dennis L. Chao, Li Hsu
Genomic instability, the propensity of aberrations in chromosomes, plays a critical role in the development of many diseases. High throughput genotyping experiments have been perfo…