Contributed Papers

Advanced Computational and Graphical Methods in Genomics and Genetics

Sun, Aug 3, 4:00 PM - 5:50 PM Room CC-209B Music City Center

Jie RenChair

Section on Statistics in Genomics and Genetics

6 Presentations

Identifying high-dimensional genomic factors associated with biological networks

4:05 PM - 4:20 PM

Co-authors: Samuel Anyaso-Samuel (National Cancer Institute), Samuel Anyaso-Samuel (National Cancer Institute), Jianxin Shi, Paul Albert (National Cancer Institute)

Genomics Gaussian graphical models Statistical Genetics Microbiome Networks High-dimensional data analysis

Accounting for Spatial Correlation in Graphical Analysis of Spatial Transcriptomics Data

4:20 PM - 4:35 PM

Co-authors: Ana Gabriela Vasconcelos, Ali Shojaie (University of Washington), Ana Gabriela Vasconcelos

Spatial transcriptomics co-expression Splines

A Regularized Hierarchical Model for Incorporating Annotation Information in Predictive Omic Studies

4:35 PM - 4:50 PM

Co-authors: Dixin Shen (Gilead Sciences), Dixin Shen (Gilead Sciences), Juan Pablo Lewinger (USC), Eric Kawaguchi

integrated analysis omics meta-feature precision medicine regularized regression hierarchical model

Leveraging cell-type specificity and similarity improves single-cell eQTL fine-mapping

4:50 PM - 5:05 PM

Co-authors: Chen Lin, Yingxin Lin, Chen Lin, Wenxuan Li (UCLA), Leqi Xu, Xiangyu Zhang (Yale University), Hongyu Zhao (Yale University)

Empirical Bayes MCEM eQTL causal inference

Efficient and accurate framework for rare variant associations in biobank-scale time-to-event data

5:05 PM - 5:20 PM

Co-authors: Shuang Song (Harvard T.H. Chan School of Public Health), Xihao Li (University of North Carolina at Chapel Hill), Shuang Song (Harvard T.H. Chan School of Public Health), Hufeng Zhou (Harvard University), Zilin Li (Northeast Normal University), Xihong Lin (Harvard T.H. Chan School of Public Health)

rare variants time-to-event phenotypes biobank studies saddlepoint approximation functional annotations SKAT

WITHDRAWN WaveKAT-F: A Genotype-Informed Wavelet-Fourier Transformation for Rare Variant Association Testing

5:20 PM - 5:35 PM

Co-authors: Victor Petrescu, Victor Petrescu

Rare Variant Association Testing Custom Wavelet Transforms Fourier Methods Spectral Methods Multi-Resolution Signal Processing Genetic Association Studies