Ngā hua rapu - Xu, Yaomin

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  1. 1
    In-depth genomic data analyses revealed complex transcriptional and epigenetic dysregulations of BRAF(V600E) in melanoma

    In-depth genomic data analyses revealed complex transcriptional and epigenetic dysregulations of BRAF(V600E) in melanoma mā Guo, Xingyi, Xu, Yaomin, Zhao, Zhongming

    I whakaputaina 2015
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  2. 2
    Snowball: resampling combined with distance-based regression to discover transcriptional consequences of a driver mutation

    Snowball: resampling combined with distance-based regression to discover transcriptional consequences of a driver mutation mā Xu, Yaomin, Guo, Xingyi, Sun, Jiayang, Zhao, Zhongming

    I whakaputaina 2015
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  3. 3
    Screening for SNPs with Allele-Specific Methylation based on Next-Generation Sequencing Data

    Screening for SNPs with Allele-Specific Methylation based on Next-Generation Sequencing Data mā Hu, Bo, Ji, Yuan, Xu, Yaomin, Ting, Angela H

    I whakaputaina 2013
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  4. 4
    Performance of a Natural Language Processing Method to Extract Stone Composition from the Electronic Health Record

    Performance of a Natural Language Processing Method to Extract Stone Composition from the Electronic Health Record mā Bejan, Cosmin A, Lee, Daniel J, Xu, Yaomin, Hsi, Ryan S

    I whakaputaina 2019
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  5. 5
    Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings

    Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings mā Yin, Wen, Gao, Cheng, Xu, Yaomin, Li, Bingshan, Ruderfer, Douglas M., Chen, You

    I whakaputaina 2018
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  6. 6
    Tumor genomic alterations in severe-combined immunodeficiency bare-lymphocyte syndrome genes are associated with high mutational burden and disproportional neo-antigen rates

    Tumor genomic alterations in severe-combined immunodeficiency bare-lymphocyte syndrome genes are associated with high mutational burden and disproportional neo-antigen rates mā Wang, Yu, Johnson, Douglas B., Lu, Steve, Diaz, Luis A., Xu, Yaomin, Balko, Justin M.

    I whakaputaina 2019
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  7. 7
    PheWAS-ME: a web-app for interactive exploration of multimorbidity patterns in PheWAS

    PheWAS-ME: a web-app for interactive exploration of multimorbidity patterns in PheWAS mā Strayer, Nick, Shirey-Rice, Jana K, Shyr, Yu, Denny, Joshua C, Pulley, Jill M, Xu, Yaomin

    I whakaputaina 2020
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  8. 8
    Genome-wide analysis of DNA methylation and gene expression defines molecular characteristics of Crohn’s disease-associated fibrosis

    Genome-wide analysis of DNA methylation and gene expression defines molecular characteristics of Crohn’s disease-associated fibrosis mā Sadler, Tammy, Bhasin, Jeffrey M., Xu, Yaomin, Barnholz-Sloan, Jill, Chen, Yanwen, Ting, Angela H., Stylianou, Eleni

    I whakaputaina 2016
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  9. 9
    The Astounding Breadth of Health Disparity: Phenome-Wide Effects of Race on Disease Risk

    The Astounding Breadth of Health Disparity: Phenome-Wide Effects of Race on Disease Risk mā Pulley, Jill M., Jerome, Rebecca N., Bernard, Gordon R., Shirey-Rice, Jana K., Xu, Yaomin, Wilkins, Consuelo H.

    I whakaputaina 2020
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  10. 10
    Major differences in the responses of primary human leukocyte subsets to IFN-β()

    Major differences in the responses of primary human leukocyte subsets to IFN-β() mā van Boxel-Dezaire, Anette H. H., Zula, Joana A., Xu, Yaomin, Ransohoff, Richard M., Jacobberger, James W., Stark, George R.

    I whakaputaina 2010
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  11. 11
    Unique DNA methylome profiles in CpG island methylator phenotype colon cancers

    Unique DNA methylome profiles in CpG island methylator phenotype colon cancers mā Xu, Yaomin, Hu, Bo, Choi, Ae-Jin, Gopalan, Banu, Lee, Byron H., Kalady, Matthew F., Church, James M., Ting, Angela H.

    I whakaputaina 2012
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  12. 12
    Exhaled Breath Analysis with a Colorimetric Sensor Array for the Identification and Characterization of Lung Cancer

    Exhaled Breath Analysis with a Colorimetric Sensor Array for the Identification and Characterization of Lung Cancer mā Mazzone, Peter J, Wang, Xiao-Feng, Xu, Yaomin, Mekhail, Tarek, Beukemann, Mary C, Na, Jie, Kemling, Jonathan W, Suslick, Kenneth S, Sasidhar, Madhu

    I whakaputaina 2012
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  13. 13
    Excessive Biologic Response to IFNβ Is Associated with Poor Treatment Response in Patients with Multiple Sclerosis

    Excessive Biologic Response to IFNβ Is Associated with Poor Treatment Response in Patients with Multiple Sclerosis mā Rudick, Richard A., Rani, M. R. Sandhya, Xu, Yaomin, Lee, Jar-Chi, Na, Jie, Shrock, Jennifer, Josyula, Anupama, Fisher, Elizabeth, Ransohoff, Richard M.

    I whakaputaina 2011
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  14. 14
    Heterogeneous, Longitudinally-Stable Molecular Signatures in Response to Interferon-β

    Heterogeneous, Longitudinally-Stable Molecular Signatures in Response to Interferon-β mā Sandhya Rani, M. R., Xu, Yaomin, Lee, Jar-chi, Shrock, Jennifer, Josyula, Anupama, Schlaak, Joerg, Chakraborthy, Swathi, Ja, Nie, Ransohoff, Richard M., Rudick, Richard A.

    I whakaputaina 2009
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  15. 15
    RNA-Sequencing Reveals a Distinct Transcriptomic Signature for Giant Cell Myocarditis and Identifies Novel Druggable Targets

    RNA-Sequencing Reveals a Distinct Transcriptomic Signature for Giant Cell Myocarditis and Identifies Novel Druggable Targets mā Amancherla, Kaushik, Qin, Juan, Wang, Yu, Axelrod, Margaret L, Balko, Justin M, Schlendorf, Kelly H, Hoffman, Robert D, Xu, Yaomin, Lindenfeld, JoAnn, Moslehi, Javid

    I whakaputaina 2021
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  16. 16
    Comparative Transcriptome Profiles of Human Blood in Response to the Toll-like Receptor 4 Ligands Lipopolysaccharide and Monophosphoryl Lipid A

    Comparative Transcriptome Profiles of Human Blood in Response to the Toll-like Receptor 4 Ligands Lipopolysaccharide and Monophosphoryl Lipid A mā Luan, Liming, Patil, Naeem K., Guo, Yin, Hernandez, Antonio, Bohannon, Julia K., Fensterheim, Benjamin A., Wang, Jingbin, Xu, Yaomin, Enkhbaatar, Perenlei, Stark, Ryan, Sherwood, Edward R.

    I whakaputaina 2017
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  17. 17
    Reduced expression of autotaxin predicts survival in uveal melanoma

    Reduced expression of autotaxin predicts survival in uveal melanoma mā Singh, Arun D, Sisley, Karen, Xu, Yaomin, Li, Jianbo, Faber, Pieter, Plummer, Sarah J, Mudhar, Hardeep S, Rennie, Ian G, Kessler, Patricia M, Casey, Graham, Williams, Bryan G

    I whakaputaina 2007
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  18. 18
    Opportunities and Challenges for Analyzing Cancer Data at the Inter- and Intra-Institutional Levels

    Opportunities and Challenges for Analyzing Cancer Data at the Inter- and Intra-Institutional Levels mā Wu, Julie, Bryan, Jordan, Rubinstein, Samuel M., Wang, Lucy, Lenoue-Newton, Michele, Zuhour, Raed, Levy, Mia, Micheel, Christine, Xu, Yaomin, Bhavnani, Suresh K., Mackey, Lester, Warner, Jeremy L.

    I whakaputaina 2020
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  19. 19
    Immunostimulatory cancer-associated fibroblast subpopulations can predict immunotherapy response in head and neck cancer

    Immunostimulatory cancer-associated fibroblast subpopulations can predict immunotherapy response in head and neck cancer mā Obradovic, Aleksandar, Graves, Diana, Korrer, Michael, Wang, Yu, Roy, Sohini, Naveed, Abdullah, Xu, Yaomin, Luginbuhl, Adam, Curry, Joseph, Gibson, Michael, Idrees, Kamran, Hurley, Paula, Jiang, Peng, Liu, X. Shirley, Uppaluri, Ravindra, Drake, Charles G., Califano, Andrea, Kim, Young J.

    I whakaputaina 2022
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  20. 20
    Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants

    Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants mā Karnes, Jason H, Bastarache, Lisa, Shaffer, Christian M, Gaudieri, Silvana, Xu, Yaomin, Glazer, Andrew, Mosley, Jonathan D, Zhao, Shilin, Raychaudhuri, Soumya, Mallal, Simon, Ye, Zhan, Mayer, John G, Brilliant, Murray H, Hebbring, Scott J, Roden, Dan M, Phillips, Elizabeth J, Denny, Joshua C

    I whakaputaina 2017
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