Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Single-cell returned 15 record(s)
|
|
Monday, 07/30/2018
|
Changing Mixtures Does Not Always Change Margins: An Application to Single-Cell RNA-Seq
Michael Newton, University of Wisconsin at Madison; XIuyu Ma, University of Wisconsin at Madison; Christina Kendziorski, University of Wisconsin - Madison
9:25 AM
|
Single-Cell RNA Sequencing: Dropout Imputation and Normalization with Spike-In Genes
Nicholas Lytal, University of Arizona; Di Ran, University of Arizona; Lingling An, University of Arizona
10:50 AM
|
Single-Cell Gene Set Analysis with Applications in Tumor Heterogeneity
Lingling An, University of Arizona; Di Ran, University of Arizona; Nicholas Lytal, University of Arizona
11:20 AM
|
SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble
Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
2:05 PM
|
|
Tuesday, 07/31/2018
|
Statistical Methods for Single-Cell RNA-Seq in Studies of Mammalian Development
Christina Kendziorski, University of Wisconsin - Madison; Zijian Wang, University of Wisconsin - Madison; Ron Stewart, Morgridge Institute for Research; Chris Barry, Morgridge Institute for Research; Li-Fang Chu, Morgridge Institute for Research
10:35 AM
|
General and Flexible Methods for Signal Extraction from Single-Cell RNA-Seq Data
Davide Risso, Weill Cornell Medicine
11:00 AM
|
Modeling Allele-Specific Gene Expression by Single-Cell RNA Sequencing
Yuchao Jiang, University of North Carolina, Chapel Hill; Nancy Zhang, University of Pennsylvania; Mingyao Li, University of Pennsylvania
11:50 AM
|
|
Wednesday, 08/01/2018
|
SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble
Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Jin Szatkiewicz, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
|
TWO-SIGMA: a Two-Component Generalized Linear Mixed Model for ScRNA-Seq Association Analysis
Eric Van Buren, UNC Chapel Hill; Yun Li, University of North Carolina at Chapel Hill; Ming Hu, Cleveland Clinic Foundation; Di Wu, UNC Chapel HIll
|
Testing Differential Gene Expression from Single-Cell RNA-Seq Data Using Bayes Deconvolusion
Jingyi Zhai, University of Michigan; Hui Jiang, University of Michigan
|
Probabilistic Inference of Clonal Gene Expression Through Integration of RNA and DNA-Seq at Single-Cell Resolution
Kieran Campbell, University of British Columbia; Sohrab P Shah, BC Cancer Agency; Alexandre Bouchard-Côté, University of British Columbia
|
Modeling Missingness to Reduce Bias in Single-Cell DNA Methylation Data
Divy Kangeyan, Harvard University; Martin Aryee, Harvard University
|
A Nonparametric Bayesian Model for Single-Cell Variant Calling
Patrick Flaherty, University of Massachusetts, Amherst
9:50 AM
|
|
|
