Showing 1 - 15 results of 15 for search 'Barbara E. Engelhardt', query time: 0.04s Refine Results
  1. 1
    A robust nonlinear low-dimensional manifold for single cell RNA-seq data

    A robust nonlinear low-dimensional manifold for single cell RNA-seq data by Archit Verma, Barbara E. Engelhardt

    Published 2020-07-01
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  2. 2
    A Poisson reduced-rank regression model for association mapping in sequencing data

    A Poisson reduced-rank regression model for association mapping in sequencing data by Tiana Fitzgerald, Andrew Jones, Barbara E. Engelhardt

    Published 2022-12-01
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  3. 3
    Integrative modeling of eQTLs and cis-regulatory elements suggests mechanisms underlying cell type specificity of eQTLs.

    Integrative modeling of eQTLs and cis-regulatory elements suggests mechanisms underlying cell type specificity of eQTLs. by Christopher D Brown, Lara M Mangravite, Barbara E Engelhardt

    Published 2013-01-01
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  4. 4
    Joint analysis of expression levels and histological images identifies genes associated with tissue morphology

    Joint analysis of expression levels and histological images identifies genes associated with tissue morphology by Jordan T. Ash, Gregory Darnell, Daniel Munro, Barbara E. Engelhardt

    Published 2021-03-01
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  5. 5
    Optimal marker gene selection for cell type discrimination in single cell analyses

    Optimal marker gene selection for cell type discrimination in single cell analyses by Bianca Dumitrascu, Soledad Villar, Dustin G. Mixon, Barbara E. Engelhardt

    Published 2021-02-01
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  6. 6
    Protein molecular function prediction by Bayesian phylogenomics.

    Protein molecular function prediction by Bayesian phylogenomics. by Barbara E Engelhardt, Michael I Jordan, Kathryn E Muratore, Steven E Brenner

    Published 2005-10-01
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  7. 7
    Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering.

    Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering. by Chuan Gao, Ian C McDowell, Shiwen Zhao, Christopher D Brown, Barbara E Engelhardt

    Published 2016-07-01
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  8. 8
    Bayesian nonparametric discovery of isoforms and individual specific quantification

    Bayesian nonparametric discovery of isoforms and individual specific quantification by Derek Aguiar, Li-Fang Cheng, Bianca Dumitrascu, Fantine Mordelet, Athma A. Pai, Barbara E. Engelhardt

    Published 2018-04-01
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  9. 9
    Sparse multi-output Gaussian processes for online medical time series prediction

    Sparse multi-output Gaussian processes for online medical time series prediction by Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E Engelhardt

    Published 2020-07-01
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  10. 10
    Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach

    Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach by Niranjani Prasad, Aishwarya Mandyam, Corey Chivers, Michael Draugelis, C. William Hanson, Barbara E. Engelhardt, Krzysztof Laudanski

    Published 2022-04-01
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  11. 11
    Clustering gene expression time series data using an infinite Gaussian process mixture model.

    Clustering gene expression time series data using an infinite Gaussian process mixture model. by Ian C McDowell, Dinesh Manandhar, Christopher M Vockley, Amy K Schmid, Timothy E Reddy, Barbara E Engelhardt

    Published 2018-01-01
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  12. 12
    Genome-wide association study of d-amphetamine response in healthy volunteers identifies putative associations, including cadherin 13 (CDH13).

    Genome-wide association study of d-amphetamine response in healthy volunteers identifies putative associations, including cadherin 13 (CDH13). by Amy B Hart, Barbara E Engelhardt, Margaret C Wardle, Greta Sokoloff, Matthew Stephens, Harriet de Wit, Abraham A Palmer

    Published 2012-01-01
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  13. 13
    Brain kernel: A new spatial covariance function for fMRI data

    Brain kernel: A new spatial covariance function for fMRI data by Anqi Wu, Samuel A. Nastase, Christopher A. Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow

    Published 2021-12-01
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  14. 14
    Causal network inference from gene transcriptional time-series response to glucocorticoids.

    Causal network inference from gene transcriptional time-series response to glucocorticoids. by Jonathan Lu, Bianca Dumitrascu, Ian C McDowell, Brian Jo, Alejandro Barrera, Linda K Hong, Sarah M Leichter, Timothy E Reddy, Barbara E Engelhardt

    Published 2021-01-01
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  15. 15
    ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study

    ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study by Dipender Gill, Marios Arvanitis, Paul Carter, Ana I. Hernández Cordero, Brian Jo, Ville Karhunen, Susanna C. Larsson, Xuan Li, Sam M. Lockhart, Amy Mason, Evanthia Pashos, Ashis Saha, Vanessa Y. Tan, Verena Zuber, Yohan Bossé, Sarah Fahle, Ke Hao, Tao Jiang, Philippe Joubert, Alan C. Lunt, Willem Hendrik Ouwehand, David J. Roberts, Wim Timens, Maarten van den Berge, Nicholas A. Watkins, Alexis Battle, Adam S. Butterworth, John Danesh, Emanuele Di Angelantonio, Barbara E. Engelhardt, James E. Peters, Don D. Sin, Stephen Burgess

    Published 2020-11-01
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