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Keyword Search Criteria: Gene Expression returned 32 record(s)
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Sunday, 07/29/2018
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Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data
Love Tanzy, University of Rochester Medical Center; Valeriia Sherina, University of Rochester Medical Center; Matthew N. McCall, University of Rochester Medical Center
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A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
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A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
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Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
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A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
2:15 PM
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A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
2:25 PM
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Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:35 PM
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Power Analysis for RNA-Seq in Single Cells
Zhijin Wu, Brown University; Hao Wu, Emory University
4:05 PM
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Monday, 07/30/2018
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Per-Gene Normalization Method (UQ-PgQ2) Improves the Specificity for the Analysis of Differential Gene Expression in RNA-Seq Data
Xiaohong Li, University of Louisville; Nigel G.F. Cooper, University of Louisville; Dongfeng Wu, University of Louisville; Eric C. Rouchka, University of Louisville; Shesh N. Rai, University of Louisville
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Building a Genomic Signature via Transfer Learning on Both Labelled and Unlabelled High-Dimensional Data: a Case Study in Predicting Prostate Cancer Metastasis
Yang Liu, GenomeDx Biosciences; Hossein Sharifi-Noghabi, Simon Fraser University; Nicholas Erho, GenomeDX Biosciences; Raunak Shrestha, Vancouver Prostate Centre; Mohammed Alshalalfa, GenomeDX Biosciences; Elai Davicioni, GenomeDX Biosciences; Colin Collins, Vancouver Prostate Centre; Martin Ester, Simon Fraser University
9:05 AM
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Empirical Bayes Estimation of Gene Expression Fold Change
Abbas Rahal, University of Ottawa; Marta Padila, University of Ottawa; David R. Bickel, University of Ottawa
10:05 AM
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A Bayesian Approach to Analyzing Differential Gene Expression in Heterogeneous Tissue Samples
Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City
10:35 AM
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Tuesday, 07/31/2018
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SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing
Mo Huang, University of Pennsylvania; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
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Integrative Statistical Analysis Pipeline for RNA-Seq and NanoString with Application to Gene Expression Data of Cancer Patients
Jeea Choi, Novartis Pharmaceuticals; Catarina D. Campbell, Novartis Institutes for BioMedical Research; Xiaoshan Wang, Novartis Pharmaceuticals; He Wei, Novartis Pharmaceuticals; Robinson Douglas, Novartis Pharmaceuticals; Stephane Wong, Novartis Pharmaceuticals; Bin Fu, Novartis Pharmaceuticals; Rebecca Leary, Novartis Institutes for BioMedical Research; Kavitha Venkatesan, Novartis Institutes for BioMedical Research; Ying A Wang, Novartis Pharmaceuticals
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Integrative Statistical Analysis Pipeline for RNA-Seq and NanoString with Application to Gene Expression Data of Cancer Patients
Jeea Choi, Novartis Pharmaceuticals; Catarina D. Campbell, Novartis Institutes for BioMedical Research; Xiaoshan Wang, Novartis Pharmaceuticals; He Wei, Novartis Pharmaceuticals; Robinson Douglas, Novartis Pharmaceuticals; Stephane Wong, Novartis Pharmaceuticals; Bin Fu, Novartis Pharmaceuticals; Rebecca Leary, Novartis Institutes for BioMedical Research; Kavitha Venkatesan, Novartis Institutes for BioMedical Research; Ying A Wang, Novartis Pharmaceuticals
8:40 AM
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Assisted Gene Expression-Based Clustering with AWNCut
Yang Li, Renmin University of China; Ruofan Bie, Renmin University of China; Sebastian J Teran Hidalgo, Yale University; Yichen Qin, University of Cincinnati; Mengyunn Wu, Yale University; Shuangge Ma, Yale University
8:50 AM
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SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing
Mo Huang, University of Pennsylvania; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
9:10 AM
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A Multi-Step Classifier Addressing Cohort Heterogeneity Improves Performance of Prognostic Biomarkers in Three Cancer Types
Ellis Patrick, University of Sydney; Samuel Mueller, The University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
9:35 AM
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Weighted Averages for Reconstructed Pathways: a Novel Method for Pathway Level Analysis of Gene Expression Profiles
Monnie McGee, Southern Methodist University; Elizabeth McClellan, Metropolitan State University of Denver; Richard H Scheuermann, J Craig Venter Institute
10:05 AM
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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
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Inference of Transcription Factor Binding Sites in New Cell Types from Open Chromatin and Gene Expression Data
Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto; Mehran Karimzadeh, University of Toronto
2:05 PM
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Inferring the Impact of Genetic Variation on Regulatory Networks
Sara Mostafavi
2:45 PM
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A General Framework for Integrating GWAS Data with Molecular Endophenotypes
Wei Pan, University of Minnesota
3:05 PM
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Wednesday, 08/01/2018
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Testing Differential Gene Expression from Single-Cell RNA-Seq Data Using Bayes Deconvolusion
Jingyi Zhai, University of Michigan; Hui Jiang, University of Michigan
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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
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Variability-Preserving Imputation for Accurate Gene Expression Recovery in Single Cell RNA Sequencing Studies
Mengjie Chen, University of Chicago; Xiang Zhou, U of Michigan
8:35 AM
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Accounting for Gene Expression Quantification Uncertainty Leads to Improved Performance in Differential Splicing Analysis
Scott Van Buren, University of North Carolina at Chapel Hill; Naim Rashid, UNC Chapel Hill
8:50 AM
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A Biomarker-Directed Phase 2 Oncology Umbrella Trial to Target Combination Therapy in NSCLC
Hua Ma, Merck; Robin Mogg, Merck Research Laboratories
9:35 AM
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Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:35 AM
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Variance Component Score Test for Differential Expression in RNAseq Studies
Denis Agniel, RAND Corporation; Boris Hejblum, Universite de Bordeaux
3:05 PM
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A Data Adjustment-Tolerant Strategy for RNA-Seq Differential Gene Expression Analysis
Guoshuai Cai, Arnold School of Public Health, University of South Carolina; Jennifer M. Franks, Geisel School of Medicine at Dartmouth; Michael L. Whitfield, Geisel School of Medicine at Dartmouth
3:20 PM
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