Search Results - Cory Y. McLean

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  1. 1
    Reducing Pervasive False-Positive Identical-by-Descent Segments Detected by Large-Scale Pedigree Analysis

    Reducing Pervasive False-Positive Identical-by-Descent Segments Detected by Large-Scale Pedigree Analysis by Éric Durand, Nicholas Eriksson, Cory Y. McLean

    Published 2014
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  2. 2
    Improving Phenotypic Measurements in High-Content Imaging Screens

    Improving Phenotypic Measurements in High-Content Imaging Screens by D. Michael Ando, Cory Y. McLean, Marc Berndl

    Published 2017
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  3. 3
    Accurate, scalable cohort variant calls using DeepVariant and GLnexus

    Accurate, scalable cohort variant calls using DeepVariant and GLnexus by Taedong Yun, Helen Li, Pi-Chuan Chang, Michael Lin, Andrew Carroll, Cory Y. McLean

    Published 2020
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  4. 4
    Sequential regulatory activity prediction across chromosomes with convolutional neural networks

    Sequential regulatory activity prediction across chromosomes with convolutional neural networks by David R. Kelley, Yakir Reshef, Maxwell L. Bileschi, David Belanger, Cory Y. McLean, Jasper Snoek

    Published 2018
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  5. 5
    GREAT improves functional interpretation of cis-regulatory regions

    GREAT improves functional interpretation of cis-regulatory regions by Cory Y. McLean, Dave Bristor, Michael Hiller, Shoa L. Clarke, Bruce T. Schaar, Craig B. Lowe, Aaron M. Wenger, Gill Bejerano

    Published 2010
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  6. 6
    DeepNull models non-linear covariate effects to improve phenotypic prediction and association power

    DeepNull models non-linear covariate effects to improve phenotypic prediction and association power by Zachary R. McCaw, Thomas Colthurst, Taedong Yun, Nicholas A. Furlotte, Andrew Carroll, Babak Alipanahi, Cory Y. McLean, Farhad Hormozdiari

    Published 2022
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  7. 7
    A deep learning approach to pattern recognition for short DNA sequences

    A deep learning approach to pattern recognition for short DNA sequences by Akosua Busia, George E. Dahl, Clara Fannjiang, David H. Alexander, Elizabeth H. Dorfman, Ryan Poplin, Cory Y. McLean, Pi-Chuan Chang, Mark A. DePristo

    Published 2018
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  8. 8
    Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials

    Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials by Justin M. Zook, Jennifer McDaniel, Hemang Parikh, Haynes Heaton, Sean A. Irvine, Len Trigg, Rebecca Truty, Cory Y. McLean, Francisco M. De La Vega, Chunlin Xiao, Stephen T. Sherry, Marc Salit

    Published 2018
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  9. 9
    Accurate human genome analysis with Element Avidity sequencing

    Accurate human genome analysis with Element Avidity sequencing by Andrew Carroll, Alexey Kolesnikov, Daniel E. Cook, Lucas Brambrink, Kelly Wiseman, Sophie Billings, Semyon Kruglyak, Bryan R. Lajoie, June Zhao, Shawn Levy, Cory Y. McLean, Kishwar Shafin, Maria Nattestad, Pi-Chuan Chang

    Published 2023
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  10. 10
    Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock

    Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock by Sara Ahadi, Kenneth A. Wilson, Boris Babenko, Cory Y. McLean, Drew Bryant, Orion Pritchard, Ajay Kumar, Enrique M. Carrera, Ricardo Lamy, Jay M. Stewart, Avinash V. Varadarajan, Marc Berndl, Pankaj Kapahi, Ali Bashir

    Published 2023
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  11. 11
    Human-specific loss of regulatory DNA and the evolution of human-specific traits

    Human-specific loss of regulatory DNA and the evolution of human-specific traits by Cory Y. McLean, Philip L. Reno, Alex A. Pollen, Abraham I. Bassan, Terence D. Capellini, Catherine Guenther, Vahan B. Indjeian, Xinhong Lim, Douglas B. Menke, Bruce T. Schaar, Aaron M. Wenger, Gill Bejerano, David M. Kingsley

    Published 2011
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  12. 12
    Creating a universal SNP and small indel variant caller with deep neural networks

    Creating a universal SNP and small indel variant caller with deep neural networks by Ryan Poplin, Pi-Chuan Chang, David H. Alexander, Scott Schwartz, Thomas Colthurst, Alexander Ku, Dan Newburger, Jojo Dijamco, Nam V. Nguyen, Pegah Tootoonchi Afshar, Sam Gross, Lizzie Dorfman, Cory Y. McLean, Mark A. DePristo

    Published 2016
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  13. 13
    A universal SNP and small-indel variant caller using deep neural networks

    A universal SNP and small-indel variant caller using deep neural networks by Ryan Poplin, Pi-Chuan Chang, David H. Alexander, Scott Schwartz, Thomas Colthurst, Alexander Ku, Dan Newburger, Jojo Dijamco, Nam V. Nguyen, Pegah Tootoonchi Afshar, Sam Gross, Lizzie Dorfman, Cory Y. McLean, Mark A. DePristo

    Published 2018
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  14. 14
    An open resource for accurately benchmarking small variant and reference calls

    An open resource for accurately benchmarking small variant and reference calls by Justin M. Zook, Jennifer McDaniel, Nathan D. Olson, Justin Wagner, Hemang Parikh, Haynes Heaton, Sean A. Irvine, Len Trigg, Rebecca Truty, Cory Y. McLean, Francisco M. De La Vega, Chunlin Xiao, Stephen T. Sherry, Marc Salit

    Published 2019
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  15. 15
    Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology

    Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology by Babak Alipanahi, Farhad Hormozdiari, Babak Behsaz, Justin Cosentino, Zachary R. McCaw, Emanuel Schorsch, D. Sculley, Elizabeth H. Dorfman, Paul J. Foster, Lily H. Peng, Sonia Phene, Naama Hammel, Andrew Carroll, Anthony P. Khawaja, Cory Y. McLean

    Published 2021
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  16. 16
    Machine learning guided aptamer refinement and discovery

    Machine learning guided aptamer refinement and discovery by Ali Bashir, Qin Yang, Jinpeng Wang, Stephan Hoyer, Wen-Chuan Chou, Cory Y. McLean, Geoff Davis, Qiang Gong, Zan Armstrong, Junghoon Jang, Hui Kang, Annalisa Pawlosky, Alexander P. Scott, George E. Dahl, Marc Berndl, Michelle Dimon, B. Scott Ferguson

    Published 2021
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  17. 17
    Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction

    Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction by Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary R. McCaw, Davin Hill, Robert Luben, Dongbing Lai, John Bates, Howard H. Yang, Tae‐Hwi Schwantes‐An, Yuchen Zhou, Anthony P. Khawaja, Andrew Carroll, Brian D. Hobbs, Michael H. Cho, Cory Y. McLean, Farhad Hormozdiari

    Published 2024
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  18. 18
    Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma

    Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma by Brett Johnson, Tali Mazor, Chibo Hong, Michael J. Barnes, Koki Aihara, Cory Y. McLean, Shaun D. Fouse, Shogo Yamamoto, Hiroki Ueda, Kenji Tatsuno, Saurabh Asthana, Llewellyn E. Jalbert, Sarah J. Nelson, Andrew W. Bollen, W. Clay Gustafson, Elise Charron, William A. Weiss, Ivan Smirnov, Jun S. Song, Adam B. Olshen, Soonmee Cha, Yongjun Zhao, Richard A. Moore, Andrew J. Mungall, Steven J.M. Jones, Martin Hirst, Marco A. Marra, Nobuhito Saito, Hiroyuki Aburatani, Akitake Mukasa, Mitchel S. Berger, Susan M. Chang, Barry S. Taylor, J Costello

    Published 2013
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  19. 19
    Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling study

    Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling study by Mike A. Nalls, Cory Y. McLean, Jacqueline Rick, Shirley Eberly, Samantha J. Hutten, Katrina Gwinn, Margaret Sutherland, María Martínez, Peter Heutink, Nigel Williams, John Hardy, Thomas Gasser, Alexis Brice, T. Ryan Price, Aude Nicolas, Margaux F. Keller, Cliona Molony, J. Raphael Gibbs, Alice Chen‐Plotkin, EunRan Suh, Christopher Letson, Massimo S. Fiandaca, Mark Mapstone, Howard J. Federoff, Alastair Noyce, Huw R. Morris, Vivianna M. Van Deerlin, Daniel Weintraub, Cyrus P. Zabetian, Dena G. Hernandez, Suzanne Lesage, Meghan Mullins, Emily Drabant Conley, Carrie A. M. Northover, Mark Frasier, Kenneth Marek, Aaron Day-Williams, David J. Stone, John P. A. Ioannidis, Andrew Singleton

    Published 2015
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  20. 20
    A population-specific reference panel for improved genotype imputation in African Americans

    A population-specific reference panel for improved genotype imputation in African Americans by Jared O’Connell, Taedong Yun, Meghan E. Moreno, Helen Li, Nadia K. Litterman, Alexey Kolesnikov, Elizabeth S. Noblin, Pi-Chuan Chang, Anjali J. Shastri, Elizabeth H. Dorfman, Suyash Shringarpure, Stella Aslibekyan, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Katarzyna Bryc, Emily Bullis, Daniella Coker, Gabriel Cuéllar-Partida, Devika Dhamija, Sayantan Das, Sarah L. Elson, Teresa Filshtein, Kipper Fletez‐Brant, Pierre Fontanillas, Will Freyman, Pooja Gandhi, Karl Heilbron, Alejandro Hernandez, Barry Hicks, David A. Hinds, Ethan M. Jewett, Yunxuan Jiang, Katelyn Kukar, Keng-Han Lin, Maya Lowe, Jey C. McCreight, Matthew H. McIntyre, Steven J. Micheletti, Joanna L. Mountain, Priyanka Nandakumar, Aaron A. Petrakovitz, G. David Poznik, Morgan Schumacher, Janie F. Shelton, Jingchunzi Shi, Christophe Toukam Tchakouté, Vinh Tran, Joyce Y. Tung, Xin Wang, Wei Wang, Catherine H. Weldon, Peter Wilton, Corinna Wong, Adam Auton, Andrew Carroll, Cory Y. McLean

    Published 2021
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