55
Sun, 8/8/2021,
3:30 PM -
5:20 PM
Virtual
Statistical methods for data from single cell technologies — Contributed Speed
Section on Statistics in Genomics and Genetics
Chair(s): Pixu Shi, Duke University
3:35 PM
Reconstructing Single-Cell Trajectories via Stochastic Tree Search
Jingyi Zhai, University of Michigan ; Hui Jiang, University of Michigan
3:40 PM
RZiMM-ScRNA: A Regularized Zero-Inflated Mixture Model Framework for Single-Cell RNA-Seq Data
William Bekerman, Department of Statistics and Data Science, Cornell University
3:45 PM
MLG: Multilayer Graph Clustering for Multi-Condition ScRNA-Seq
Shan Lu, University of Wisconsin-Madison ; Daniel Conn, University of Wisconsin-Madison; Shuyang Chen, University of Wisconsin-Madison; Kirby Johnson , University of Wisconsin-Madison; Emery Bresnick, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
3:50 PM
Estimating Heterogeneous Gene Regulatory Networks from Zero-Inflated Single-Cell Expression Data
Qiuyu Wu, Renmin University of China ; Xiangyu Luo, Renmin University of China
3:55 PM
A Fast and Efficient Likelihood Approach for Genome-Wide Mediation Analysis Under Extreme Phenotype Sequencing
Janaka S. S. Liyanage, St. Jude Children’s Research Hospital ; Guolian Kang, St. Jude Children’s Research Hospital
4:00 PM
Deconvolution of Spatial Transcriptomics Data Using Penalized Bayesian Non-Negative Matrix Factorization
Roopali Singh, The Pennsylvania State University ; Xiang Zhu, The Pennsylvania State University; Qunhua Li, The Pennsylvania State University
4:05 PM
Overview of Simultaneous Inference of Relative Gene Isoform Expressions for RNA Sequencing Factorial Designs
Bo Li, The Citadel, The Military College of South Carolina
4:10 PM
Extension of the Condition-Adaptive Fused Graphical Lasso and Application to Modeling Brain Region Co-Expression Networks
Souvik Seal, Department of Biostatistics and Informatics, CSPH, CU Anschutz Medical Campus ; Katerina Kechris, University of Colorado Anschutz Medical Campus
4:15 PM
SCRIP: An Accurate Simulator for Single-Cell RNA Sequencing Data
Fei Qin, University of South Carolina ; Xizhi Luo, University of South Carolina; Feifei Xiao, University of South Carolina; Guoshuai Cai, University of South Carolina
4:20 PM
ZIRFs: Zero-Inflated Random Forests for Estimating Gene Regulatory Networks from Single Cell RNA-Seq Data
Daniel Conn, University of Wisconsin-Madison ; Sunduz Keles, University of Wisconsin, Madison
4:30 PM
Hierarchical Canonical Correlation Screen for Identification and Visualization of Phenotype-Driven Cell Types in Multiple Sample Single-Cell RNA-Sequencing Experiments
Boyang Zhang, Johns Hopkins Bloomberg School of Public Health ; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
4:35 PM
On the Semiparametric Efficiency of a Class of Functional Response Models for Between-Subject Attributes
Jinyuan Liu, UCSD ; Tian Chen, The University of Toledo; Tuo Lin, University of California, San Diego; Xinlian Zhang, UCSD; Xin Tu, University of California, San Diego
4:40 PM
SpotClean Adjusts for Spot Swapping in Spatial Transcriptomics Data
Zijian Ni, UW-Madison ; Aman Prasad, Department of Dermatology, UW-Madison; Shuyang Chen, University of Wisconsin-Madison; Lisa Arkin, Department of Dermatology, UW-Madison; Richard Halberg, Department of Medicine, UW-Madison; Beth Drolet, Department of Dermatology, UW-Madison; Michael Newton, University of Wisconsin, Madison; Christina Kendziorski, UW-Madison
4:45 PM
Comparative Analysis of Statistical Methods for Single-Cell RNA Sequencing Data
Rose Adjei, UTAH STATE UNIVERSITY ; John R. Stevens, UTAH STATE UNIVERSITY
4:50 PM
Single-Cell Unbiased Visualization with SCUBI
Zhicheng Ji, Duke University School of Medicine ; Wenpin Hou, Johns Hopkins Bloomberg School of Public Health
4:55 PM
Lamian: A Statistical Framework for Differential Pseudotime Analysis in Multiple Single-Cell RNA-Seq Samples
Wenpin Hou, Johns Hopkins Bloomberg School of Public Health ; Zhicheng Ji, Duke University School of Medicine; Zeyu Chen, Mass General Hospital/Harvard Medical School/Broad Institute; Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
5:00 PM
Flexible Copula Model for Integrating Correlated Multi-Omics Data from Single-Cell Experiments
Yen-Yi Ho, University of South Carolina
5:05 PM
A New Algorithm to Decipher Patterned Heterogenous Networks
Frederic Bertrand, Université de technologie de Troyes ; Myriam Maumy, Université de technologie de Troyes
5:10 PM
Integrative COVID-19 Biological Network Inference with Probabilistic Core Decomposition
Yang Guo, University of Victoria ; Fatemeh Esfahani, University of Victoria; Xiaojian Shao, National Research Council Canada; Venkatesh Srinivasan, University of Victoria; Alex Thomo, University of Victoria; Li Xing, University of Saskatchewan; Xuekui Zhang, University of Victoria
