Хайлтын үр дүнгүүд - Benjamin A. Logsdon

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  1. 1
    Gene Expression Network Reconstruction by Convex Feature Selection when Incorporating Genetic Perturbations

    Gene Expression Network Reconstruction by Convex Feature Selection when Incorporating Genetic Perturbations -н Benjamin A. Logsdon, Jason G. Mezey

    Хэвлэсэн 2010
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    Artigo
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  2. 2
    A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis

    A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis -н Benjamin A. Logsdon, Gabriel E. Hoffman, Jason G. Mezey

    Хэвлэсэн 2010
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    Artigo
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  3. 3
    Simultaneously Testing for Marginal Genetic Association and Gene-Environment Interaction

    Simultaneously Testing for Marginal Genetic Association and Gene-Environment Interaction -н James Y. Dai, Benjamin A. Logsdon, Ying Huang, Li Hsu, Alexander P. Reiner, Ross L. Prentice, Charles Kooperberg

    Хэвлэсэн 2012
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    Artigo
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  4. 4
    Transcriptomic stratification of late-onset Alzheimer's cases reveals novel genetic modifiers of disease pathology

    Transcriptomic stratification of late-onset Alzheimer's cases reveals novel genetic modifiers of disease pathology -н Nikhil Milind, Christoph Preuß, Annat Haber, Guruprasad Ananda, Shubhabrata Mukherjee, John Cai, Sarah Shapley, Benjamin A. Logsdon, Paul K. Crane, Gregory W. Carter

    Хэвлэсэн 2020
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    Artigo
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  5. 5
    Multi-tissue neocortical transcriptome-wide association study implicates 8 genes across 6 genomic loci in Alzheimer’s disease

    Multi-tissue neocortical transcriptome-wide association study implicates 8 genes across 6 genomic loci in Alzheimer’s disease -н Jake Gockley, Kelsey S. Montgomery, William L. Poehlman, Jesse C. Wiley, Yue Liu, Ekaterina S. Gerasimov, Anna K. Greenwood, Solveig K. Sieberts, Aliza P. Wingo, Thomas S. Wingo, Lara M. Mangravite, Benjamin A. Logsdon

    Хэвлэсэн 2021
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    Artigo
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  6. 6
    A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia

    A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia -н Su‐In Lee, Safiye Çelik, Benjamin A. Logsdon, Scott Lundberg, Timothy J. Martins, Vivian G. Oehler, Elihu H. Estey, Chris P. Miller, Sylvia Chien, Jin Dai, Akanksha Saxena, C. Anthony Blau, Pamela S. Becker

    Хэвлэсэн 2017
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    Artigo
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  7. 7
    The AD Knowledge Portal: A Repository for Multi‐Omic Data on Alzheimer's Disease and Aging

    The AD Knowledge Portal: A Repository for Multi‐Omic Data on Alzheimer's Disease and Aging -н Anna K. Greenwood, Kelsey S. Montgomery, Nicole Kauer, Kara Woo, Zoë Leanza, William L. Poehlman, Jake Gockley, Solveig K. Sieberts, Ljubomir Bradic, Benjamin A. Logsdon, Mette A. Peters, Larsson Omberg, Lara M. Mangravite

    Хэвлэсэн 2020
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    Artigo
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  8. 8
    Molecular estimation of neurodegeneration pseudotime in older brains

    Molecular estimation of neurodegeneration pseudotime in older brains -н Sumit Mukherjee, Laura Heath, Christoph Preuß, Suman Jayadev, Gwenn A. Garden, Anna K. Greenwood, Solveig K. Sieberts, Philip L. De Jager, Nilüfer Ertekin‐Taner, Gregory W. Carter, Lara M. Mangravite, Benjamin A. Logsdon

    Хэвлэсэн 2020
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    Artigo
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  9. 9
    Rare Variation Facilitates Inferences of Fine-Scale Population Structure in Humans

    Rare Variation Facilitates Inferences of Fine-Scale Population Structure in Humans -н Timothy D. O’Connor, Wenqing Fu, Josyf C. Mychaleckyj, Benjamin A. Logsdon, Paul L. Auer, Christopher S. Carlson, Suzanne M. Leal, Joshua D. Smith, Mark J. Rieder, Michael J. Bamshad, Deborah A. Nickerson, Joshua M. Akey

    Хэвлэсэн 2014
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    Artigo
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  10. 10
    Genetic and multi‐omic risk assessment of Alzheimer's disease implicates core associated biological domains

    Genetic and multi‐omic risk assessment of Alzheimer's disease implicates core associated biological domains -н Gregory A. Cary, Jesse C. Wiley, Jake Gockley, Stephen Keegan, Sai Sruthi Amirtha Ganesh, Laura Heath, Robert R. Butler, Lara M. Mangravite, Benjamin A. Logsdon, Frank M. Longo, Allan I. Levey, Anna K Greenwood, Gregory W. Carter

    Хэвлэсэн 2024
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    Artigo
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  11. 11
    Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age

    Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age -н Aliza P. Wingo, Eric B. Dammer, Michael S. Breen, Benjamin A. Logsdon, Duc M. Duong, Juan C. Troncosco, Madhav Thambisetty, Thomas G. Beach, Geidy E. Serrano, Eric M. Reiman, Richard J. Caselli, James J. Lah, Nicholas T. Seyfried, Allan I. Levey, Thomas S. Wingo

    Хэвлэсэн 2019
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    Revisão
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  12. 12
    Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia

    Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia -н Thomas S. Wingo, Jingjing Yang, Wen Fan, Se Min Canon, Ekaterina S. Gerasimov, Adriana Lori, Benjamin A. Logsdon, Bing Yao, Nicholas T. Seyfried, James J. Lah, Allan I. Levey, Patricia A. Boyle, Julia Schneider, Philip L. De Jager, David A. Bennett, Aliza P. Wingo

    Хэвлэсэн 2020
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    Artigo
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  13. 13
    A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease

    A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease -н Christoph Preuß, Ravi S. Pandey, Erin Piazza, Alexander D. Fine, Aslı Uyar, Thanneer M. Perumal, Dylan Garceau, Kevin P. Kotredes, Harriet M. Williams, Lara M. Mangravite, Bruce T. Lamb, Adrian L. Oblak, Gareth R. Howell, Michael Sasner, Benjamin A. Logsdon, Gregory W. Carter

    Хэвлэсэн 2020
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    Artigo
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  14. 14
    Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis

    Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis -н Aliza P. Wingo, Yue Liu, Ekaterina S. Gerasimov, Jake Gockley, Benjamin A. Logsdon, Duc M. Duong, Eric B. Dammer, Chloe Robins, Thomas G. Beach, Eric M. Reiman, Michael P. Epstein, Philip L. De Jager, James J. Lah, David A. Bennett, Nicholas T. Seyfried, Allan I. Levey, Thomas S. Wingo

    Хэвлэсэн 2021
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    Artigo
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  15. 15
    Human microglia show unique transcriptional changes in Alzheimer’s disease

    Human microglia show unique transcriptional changes in Alzheimer’s disease -н Katherine E. Prater, Kevin J. Green, Sainath Mamde, Wei Sun, Alexandra Cochoit, C. Smith, Kenneth L. Chiou, Laura Heath, Shannon E. Rose, Jesse C. Wiley, C. Dirk Keene, Ronald Y. Kwon, Noah Snyder‐Mackler, Elizabeth Blue, Benjamin A. Logsdon, Jessica E. Young, Ali Shojaie, Gwenn A. Garden, Suman Jayadev

    Хэвлэсэн 2023
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    Artigo
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  16. 16
    Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model

    Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model -н Hong Wang, Yupeng Li, John Ryder, Justin T. Hole, Philip J. Ebert, David Airey, Hui-Rong Qian, Benjamin A. Logsdon, Alice Fisher, Zeshan Ahmed, Tracey K. Murray, Annalisa Cavallini, Suchira Bose, Brian J. Eastwood, David Collier, Jeffrey L. Dage, Bradley B. Miller, Kalpana Merchant, Michael J. O’Neill, Ronald B. DeMattos

    Хэвлэсэн 2018
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    Artigo
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  17. 17
    Model organism development and evaluation for late‐onset Alzheimer's disease: MODEL‐AD

    Model organism development and evaluation for late‐onset Alzheimer's disease: MODEL‐AD -н Adrian L. Oblak, Stefânia Forner, Paul R. Territo, Michael Sasner, Gregory W. Carter, Gareth R. Howell, Stacey J. Sukoff Rizzo, Benjamin A. Logsdon, Lara M. Mangravite, A Mortazavi, David Baglietto‐Vargas, Kim N. Green, Grant R. MacGregor, Marcelo A. Wood, Andrea J. Tenner, Frank M. LaFerla, Bruce T. Lamb

    Хэвлэсэн 2020
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    Artigo
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  18. 18
    Brain proteome-wide association study implicates novel proteins in depression pathogenesis

    Brain proteome-wide association study implicates novel proteins in depression pathogenesis -н Thomas S. Wingo, Yue Liu, Ekaterina S. Gerasimov, Jake Gockley, Benjamin A. Logsdon, Duc M. Duong, Eric B. Dammer, Adriana Lori, Paul J. Kim, Kerry J. Ressler, Thomas G. Beach, Eric M. Reiman, Michael P. Epstein, Philip L. De Jager, James J. Lah, David A. Bennett, Nicholas T. Seyfried, Allan I. Levey, Aliza P. Wingo

    Хэвлэсэн 2021
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    Artigo
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  19. 19
    Imputation of Exome Sequence Variants into Population- Based Samples and Blood-Cell-Trait-Associated Loci in African Americans: NHLBI GO Exome Sequencing Project

    Imputation of Exome Sequence Variants into Population- Based Samples and Blood-Cell-Trait-Associated Loci in African Americans: NHLBI GO Exome Sequencing Project -н Paul L. Auer, Jill M. Johnsen, Andrew D. Johnson, Benjamin A. Logsdon, Leslie A. Lange, Michael A. Nalls, Guosheng Zhang, Nora Franceschini, Keolu Fox, Ethan M. Lange, Stephen S. Rich, Christopher J. O’Donnell, Rebecca D. Jackson, Robert B. Wallace, Zhao Chen, Timothy A. Graubert, James Wilson, Hua Tang, Guillaume Lettre, Alex P. Reiner, Santhi K. Ganesh, Yun Li

    Хэвлэсэн 2012
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    Artigo
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  20. 20
    Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling

    Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling -н Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A. Logsdon, Gaurav Pandey, Benjamin A. Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H. Mecham, Oscar M. Rueda, Jörg Tost, Christina Curtis, Mariano J. Alvarez, Vessela N. Kristensen, Samuel Aparício, Anne‐Lise Børresen‐Dale, Carlos Caldas, Andrea Califano, Stephen Friend, Trey Ideker, Eric E. Schadt, Gustavo Stolovitzky, Jake Lin

    Хэвлэсэн 2013
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    Artigo
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