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Keyword Search Criteria: cell returned 66 record(s)
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Sunday, 07/29/2018
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Zero Counts in Single Cell RNA-Seq Data
Hao Wu, Emory University; Zhijin Wu, Brown University
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Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
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Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
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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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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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Optimal Timing of Stem Cell Transplant for Leukemia Patients
Xuelin Huang, University of Texas MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health; Jorge Cortes, University of Texas MD Anderson Cancer Center
2:25 PM
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Meta-Analysis for the Adjuvant Treatment in Renal Cell Carcinoma
Weichao Bao, Novartis Pharmaceuticals Corporation
2:50 PM
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Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
3:00 PM
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Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
3:10 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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Detection of Cell-Type-Specific Risk-CpG Sites in Epigenome-Wide Association Studies
Xiangyu Luo, The Chinese University of Hong Kong; Can Yang, The Hong Kong University of Science and Technology; Yingying Wei, The Chinese University of Hong Kong
4:50 PM
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Monday, 07/30/2018
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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
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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
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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
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Identifying Biomarkers in Heterogeneous Samples Without Known Reference Cell Type Profiles
Kelly Mosesso, Harvard University ; Martin Aryee, Harvard University
11:35 AM
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Estimating Tumor Fraction in Circulating Cell-Free DNA Using Shallow Whole Genome Sequencing
Venkatraman Seshan, MSKCC; Nicholas Socci, MSKCC; Dana Tsui, MSKCC; Julie Yang, MSKCC
11:50 AM
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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
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A Correlated Random Effects Hurdle Model for Detecting Differentially Expressed Genes in Discrete Single Cell RNA Sequencing Data
Michael Sekula, University of Louisville; Jeremy Gaskins, University of Louisville; Susmita Datta, University of Florida
2:05 PM
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Tuesday, 07/31/2018
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Barcoding of Hematopoietic Stem Cells: Application of the Species Problem
Siyi Chen, Rice Univ Dept of Statistics; Marek Kimmel, Rice University; Katherine King, Baylor College of Medicine
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Sample and Respondent Provided County Comparisons Among Cellular Respondents from the Behavioral Risk Factor Surveillance System
Machell Town, Centers for Disease Control & Prevention; Carol Pierannunzi, Centers for Disease Control and Prevention; Ashley Hyon, Marketing Systems Group; David Malarek, Marketing Systems Group; Jeffrey S. Bareham, Marketing Systems Group; Kelly Lin, Marketing Systems Group
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A 10-DNA Repair Gene Signature Predicts Benefits from Adjuvant Chemotherapy (ACT) in Patients with Non-Small Cell Lung Cancer (NSCLC)
Xiaokui Mo, Ohio State University-College of Medicine; Jianying Zhang, Ohio State University; Meng Xu Welliver, Ohio State University; Soledad Fernandez, The Ohio State University
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Identifying Morphologies of Precancerous Cells
Theresa Gebert, Carnegie Mellon University
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Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing
Xiaotian Wu, Brown University; Zhijin Wu, Brown University; Hao Wu, Emory University
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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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Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
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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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Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center
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Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data
Yian Chen, Moffitt Cancer Center & Research Institute; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
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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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A Comprehensive Germ Cell Tumor Data Commons and Its Application in Risk Classification Model Validation
Bo Ci; Yang Xie, University of Texas Southwestern Medical Center ; Lindsay Frazier, Dana-Farber Cancer Institute; Matthew Murray, Cambridge University Hospitals; James Amatruda, University of Texas Southwestern Medical Center; Mark Krailo, University of Southern California; Samuel Volchenboum, University of Chicago; Bo Yao, University of Texas Southwestern Medical Center; Caihong Xia, Children's Oncology Group; Lin Xu, University of Texas Southwestern Medical Center; Danni Luo, University of Texas Southwestern Medical Center; Shin-Yi Lin, University of Texas Southwestern Medical Center
8:50 AM
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Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center
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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Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
9:15 AM
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Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing
Xiaotian Wu, Brown University; Zhijin Wu, Brown University; Hao Wu, Emory University
9:35 AM
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Modeling Dynamics of V(D)J Recombination in T Cell Formation
Kingshuk Roy Choudhury, Duke University, Dept. of Biostatistics and Bioinformatics
9:50 AM
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Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data
Yian Chen, Moffitt Cancer Center & Research Institute; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
10:10 AM
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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
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General and Flexible Methods for Signal Extraction from Single-Cell RNA-Seq Data
Davide Risso, Weill Cornell Medicine
11:00 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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Tumor Heterogeneity in Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
Ruibin Xi, Peking University
2:30 PM
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Causal Inference for the Risk of Cellphone Use While Driving
Danni Lu, Virginia Tech; Feng Guo, Virginia Tech; Fan Li, Duke University
2:50 PM
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A Smoothed EM-Algorithm for Modeling DNA Methylation Profiles from Bisulfite Sequencing Data
Karim Oualkacha, Universite Du Quebec a Montreal; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University; Kaiqiong Zhao, Epidemiology, Biostatistics and Occupational Health, and Human Genetics, McGill University; Lajmi Lakhal-Chaieb, Université Laval
3:25 PM
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Wednesday, 08/01/2018
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Accounting for Unobserved Covariates with Varying Degrees of Estimability in High-Dimensional Data
Chris McKennan, University of Chicago; Dan Nicolae, University of Chicago
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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
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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
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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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Automatic Extraction of Cell Nuclei from Pathological Images
Brendan Caseria, The University of Texas at Dallas; Alsadig Ali, The University of Texas at Dallas; Yan Cao, The University of Texas at Dallas; Yifei Lou, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center
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Single Cell Data Mining of Live Cell Epigenetic Modifications
Chris Bryan
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Modeling the Progression of HIV/AIDS by a Hidden Markov Model(HMM)
Sanam Sanei, Penn State; Shanglun Li, Penn State; Le Le Bao, Penn State University
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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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Modeling Missingness to Reduce Bias in Single-Cell DNA Methylation Data
Divy Kangeyan, Harvard University; Martin Aryee, Harvard University
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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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ScImpute: Accurate and Robust Imputation for Single Cell RNA-Seq Data
Jingyi Li, University of California, Los Angeles; Wei Li, University of California, Los Angeles
8:55 AM
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Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection
Teng Fei, Emory University; Tengjiao Zhang, School of Life Sciences and Technology, Tongji University; Weiyang Shi, School of Life Sciences and Technology, Tongji University; Tianwei Yu, Emory University
9:20 AM
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A Discrete Threshold Model for the Clone Size Distribution of the Immune Repertoire
Qunhua Li, Penn State University; Hillary Koch, Penn State University; Dmytro Starenki, Hudson Alpha Institute for Biotechnology; Sara Cooper, HudsonAlpha Institute of Biotechnology; Rick Myers, HudsonAlpha Institute of Biotechnology
9:35 AM
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A Nonparametric Bayesian Model for Single-Cell Variant Calling
Patrick Flaherty, University of Massachusetts, Amherst
9:50 AM
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"Fostering Excellence" - Effective Leadership as a People Manager
Duane Snavely, Merck & Co.
11:15 AM
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Group Sequential Tests of Treatment Effect on Survival and Cumulative Incidence at a Fixed Time Point
Michael Martens, The Emmes Corporation; Brent Logan, Medical College of Wisconsin
11:35 AM
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Statistical Leadership in Pharmaceutical Industry Panel Discussion
Lisa LaVange, University of North Carolina; Nevine Zariffa, AstraZeneca; Pandurang Kulkarni, Eli Lilly & Company; Kannan Natarajan, Pfizer; Lisa Lupinacci, Merck; Cyrus Hoseyni, Janssen; Amit Bhattacharyya, ACI Clinical
2:05 PM
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Cell Type-Aware Differential Expression Analysis for RNA-Seq Data
Chong Jin, UNC-Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center; Mengjie Chen, University of Chicago; Danyu Lin, University of North Carolina
2:20 PM
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Robust Time Series Using Linked Exponential Smoothing Cells
Aleksandr Aravkin, University of Washington, Seattle; Avner Abrami, IBM TJ Watson Research Center; Younghun Kim, Utopus Insights
3:05 PM
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