Kathryn Roeder

Kathryn M. Roeder is an American statistician known for her development of statistical methods to uncover the genetic basis of complex disease and her contributions to mixture models, semiparametric inference, and multiple testing. Roeder holds positions as professor of statistics and professor of computational biology at Carnegie Mellon University, where she leads a project focused on discovering genes associated with autism. Provided by Wikipedia
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  1. 1
    eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings

    eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings by Kevin Z. Lin, Yixuan Qiu, Kathryn Roeder

    Published 2024-03-01
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  2. 2
    Robust differential expression testing for single-cell CRISPR screens at low multiplicity of infection

    Robust differential expression testing for single-cell CRISPR screens at low multiplicity of infection by Timothy Barry, Kaishu Mason, Kathryn Roeder, Eugene Katsevich

    Published 2024-05-01
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  3. 3
    Clustering and alignment of polymorphic sequences for HLA-DRB1 genotyping.

    Clustering and alignment of polymorphic sequences for HLA-DRB1 genotyping. by Steven Ringquist, Gaia Bellone, Ying Lu, Kathryn Roeder, Massimo Trucco

    Published 2013-01-01
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  4. 4
    SCEPTRE improves calibration and sensitivity in single-cell CRISPR screen analysis

    SCEPTRE improves calibration and sensitivity in single-cell CRISPR screen analysis by Timothy Barry, Xuran Wang, John A. Morris, Kathryn Roeder, Eugene Katsevich

    Published 2021-12-01
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  5. 5
    Evaluating and improving health equity and fairness of polygenic scores

    Evaluating and improving health equity and fairness of polygenic scores by Tianyu Zhang, Geyu Zhou, Lambertus Klei, Peng Liu, Alexandra Chouldechova, Hongyu Zhao, Kathryn Roeder, Max G’Sell, Bernie Devlin

    Published 2024-04-01
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  6. 6
    Integrated model of de novo and inherited genetic variants yields greater power to identify risk genes.

    Integrated model of de novo and inherited genetic variants yields greater power to identify risk genes. by Xin He, Stephan J Sanders, Li Liu, Silvia De Rubeis, Elaine T Lim, James S Sutcliffe, Gerard D Schellenberg, Richard A Gibbs, Mark J Daly, Joseph D Buxbaum, Matthew W State, Bernie Devlin, Kathryn Roeder

    Published 2013-01-01
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  7. 7
    How rare and common risk variation jointly affect liability for autism spectrum disorder

    How rare and common risk variation jointly affect liability for autism spectrum disorder by Lambertus Klei, Lora Lee McClain, Behrang Mahjani, Klea Panayidou, Silvia De Rubeis, Anna-Carin Säll Grahnat, Gun Karlsson, Yangyi Lu, Nadine Melhem, Xinyi Xu, Abraham Reichenberg, Sven Sandin, Christina M. Hultman, Joseph D. Buxbaum, Kathryn Roeder, Bernie Devlin

    Published 2021-10-01
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  8. 8
    Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

    Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder by Behrang Mahjani, Silvia De Rubeis, Christina Gustavsson Mahjani, Maureen Mulhern, Xinyi Xu, Lambertus Klei, F. Kyle Satterstrom, Jack Fu, Michael E. Talkowski, Abraham Reichenberg, Sven Sandin, Christina M. Hultman, Dorothy E. Grice, Kathryn Roeder, Bernie Devlin, Joseph D. Buxbaum

    Published 2021-10-01
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  9. 9
    Analysis of rare, exonic variation amongst subjects with autism spectrum disorders and population controls.

    Analysis of rare, exonic variation amongst subjects with autism spectrum disorders and population controls. by Li Liu, Aniko Sabo, Benjamin M Neale, Uma Nagaswamy, Christine Stevens, Elaine Lim, Corneliu A Bodea, Donna Muzny, Jeffrey G Reid, Eric Banks, Hillary Coon, Mark Depristo, Huyen Dinh, Tim Fennel, Jason Flannick, Stacey Gabriel, Kiran Garimella, Shannon Gross, Alicia Hawes, Lora Lewis, Vladimir Makarov, Jared Maguire, Irene Newsham, Ryan Poplin, Stephan Ripke, Khalid Shakir, Kaitlin E Samocha, Yuanqing Wu, Eric Boerwinkle, Joseph D Buxbaum, Edwin H Cook, Bernie Devlin, Gerard D Schellenberg, James S Sutcliffe, Mark J Daly, Richard A Gibbs, Kathryn Roeder

    Published 2013-04-01
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  10. 10
    Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex

    Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex by Donna M. Werling, Sirisha Pochareddy, Jinmyung Choi, Joon-Yong An, Brooke Sheppard, Minshi Peng, Zhen Li, Claudia Dastmalchi, Gabriel Santpere, André M.M. Sousa, Andrew T.N. Tebbenkamp, Navjot Kaur, Forrest O. Gulden, Michael S. Breen, Lindsay Liang, Michael C. Gilson, Xuefang Zhao, Shan Dong, Lambertus Klei, A. Ercument Cicek, Joseph D. Buxbaum, Homa Adle-Biassette, Jean-Leon Thomas, Kimberly A. Aldinger, Diana R. O’Day, Ian A. Glass, Noah A. Zaitlen, Michael E. Talkowski, Kathryn Roeder, Matthew W. State, Bernie Devlin, Stephan J. Sanders, Nenad Sestan

    Published 2020-04-01
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  11. 11
    De Novo Insertions and Deletions of Predominantly Paternal Origin Are Associated with Autism Spectrum Disorder

    De Novo Insertions and Deletions of Predominantly Paternal Origin Are Associated with Autism Spectrum Disorder by Shan Dong, Michael F. Walker, Nicholas J. Carriero, Michael DiCola, A. Jeremy Willsey, Adam Y. Ye, Zainulabedin Waqar, Luis E. Gonzalez, John D. Overton, Stephanie Frahm, John F. Keaney, III, Nicole A. Teran, Jeanselle Dea, Jeffrey D. Mandell, Vanessa Hus Bal, Catherine A. Sullivan, Nicholas M. DiLullo, Rehab O. Khalil, Jake Gockley, Zafer Yuksel, Sinem M. Sertel, A. Gulhan Ercan-Sencicek, Abha R. Gupta, Shrikant M. Mane, Michael Sheldon, Andrew I. Brooks, Kathryn Roeder, Bernie Devlin, Matthew W. State, Liping Wei, Stephan J. Sanders

    Published 2014-10-01
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