Ohcanbohtosat - Quanli Wang

Aiddostahte ozu
  1. 1
    Image segmentation and dynamic lineage analysis in single‐cell fluorescence microscopy

    Image segmentation and dynamic lineage analysis in single‐cell fluorescence microscopy Dahkki Quanli Wang, Jarad Niemi, Cheemeng Tan, Lingchong You, Mike West

    Almmustuhtton 2009
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  2. 2
    Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes

    Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes Dahkki Slavé Petrovski, Quanli Wang, Erin L. Heinzen, Andrew S. Allen, David B. Goldstein

    Almmustuhtton 2013
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  3. 3
    The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes

    The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes Dahkki Ayal B. Gussow, Slavé Petrovski, Quanli Wang, Andrew S. Allen, David B. Goldstein

    Almmustuhtton 2016
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  4. 4
    Correction: Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes

    Correction: Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes Dahkki Slavé Petrovski, Quanli Wang, Erin L. Heinzen, Andrew S. Allen, David B. Goldstein

    Almmustuhtton 2013
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  5. 5
    TLR4 plays a crucial role in MSC-induced inhibition of NK cell function

    TLR4 plays a crucial role in MSC-induced inhibition of NK cell function Dahkki Ying Lu, Jin Liu, Yang Liu, Ya-Ru Qin, Qun Luo, Quanli Wang, Haifeng Duan

    Almmustuhtton 2015
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  6. 6
    High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics

    High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics Dahkki Carlos M. Carvalho, Jeffrey T. Chang, Joseph E. Lucas, Joseph R. Nevins, Quanli Wang, Mike West

    Almmustuhtton 2008
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  7. 7
    The Intolerance of Regulatory Sequence to Genetic Variation Predicts Gene Dosage Sensitivity

    The Intolerance of Regulatory Sequence to Genetic Variation Predicts Gene Dosage Sensitivity Dahkki Slavé Petrovski, Ayal B. Gussow, Quanli Wang, Matthew Halvorsen, Yujun Han, William H. Weir, Andrew S. Allen, David B. Goldstein

    Almmustuhtton 2015
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  8. 8
    Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics

    Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics Dahkki Ayal B. Gussow, Brett Copeland, Ryan S. Dhindsa, Quanli Wang, Slavé Petrovski, William H. Majoros, Andrew S. Allen, David B. Goldstein

    Almmustuhtton 2017
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  9. 9
    Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation

    Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation Dahkki Joshua L. Traynelis, Michael Silk, Quanli Wang, Samuel F. Berkovic, Liping Liu, David B. Ascher, David J. Balding, Slavé Petrovski

    Almmustuhtton 2017
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  10. 10
    Cancer-driving mutations are enriched in genic regions intolerant to germline variation

    Cancer-driving mutations are enriched in genic regions intolerant to germline variation Dahkki Dimitrios Vitsios, Ryan S. Dhindsa, Dorota Matelska, Jonathan Mitchell, Xuequing Zou, Joshua Armenia, Fengyuan Hu, Quanli Wang, Ben S. Sidders, Andrew R. Harper, Slavé Petrovski

    Almmustuhtton 2022
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  11. 11
    Maternal iron intake during pregnancy and birth outcomes: a cross-sectional study in Northwest China

    Maternal iron intake during pregnancy and birth outcomes: a cross-sectional study in Northwest China Dahkki Jiaomei Yang, Yue Cheng, Leilei Pei, Yufen Jiang, Fangliang Lei, Lingxia Zeng, Quanli Wang, Qiang Li, Yijun Kang, Yuan Li Shen, Shaonong Dang, Hong Yan

    Almmustuhtton 2017
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  12. 12
    Inhibition of microRNA 128 promotes excitability of cultured cortical neuronal networks

    Inhibition of microRNA 128 promotes excitability of cultured cortical neuronal networks Dahkki K. Melodi McSweeney, Ayal B. Gussow, Shelton S. Bradrick, Sarah A. Dugger, Sahar Gelfman, Quanli Wang, Slavé Petrovski, Wayne N. Frankel, Michael J. Boland, David B. Goldstein

    Almmustuhtton 2016
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  13. 13
    Dietary intakes and dietary patterns among pregnant women in Northwest China

    Dietary intakes and dietary patterns among pregnant women in Northwest China Dahkki Jiaomei Yang, Shaonong Dang, Yue Cheng, Huizhen Qiu, Baibing Mi, Yufen Jiang, Pengfei Qu, Lingxia Zeng, Quanli Wang, Qiang Li, Yijun Kang, Yuan Li Shen, Hong Yan

    Almmustuhtton 2016
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  14. 14
    A Genomic Strategy to Elucidate Modules of Oncogenic Pathway Signaling Networks

    A Genomic Strategy to Elucidate Modules of Oncogenic Pathway Signaling Networks Dahkki Jeffrey T. Chang, Carlos M. Carvalho, Seiichi Mori, Andrea H. Bild, Michael L. Gatza, Quanli Wang, Joseph E. Lucas, Anil Potti, Phillip G. Febbo, Mike West, Joseph R. Nevins

    Almmustuhtton 2009
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  15. 15
    Assessing the Role of Rare Genetic Variation in Patients With Heart Failure

    Assessing the Role of Rare Genetic Variation in Patients With Heart Failure Dahkki Gundula Povysil, Olympe Chazara, Keren Carss, Sri V. V. Deevi, Quanli Wang, Javier Armisen, Dirk S. Paul, Christopher B. Granger, John Kjekshus, Vimla S. Aggarwal, Carolina Haefliger, David B. Goldstein

    Almmustuhtton 2020
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  16. 16
    A pathway-based classification of human breast cancer

    A pathway-based classification of human breast cancer Dahkki Michael L. Gatza, Joseph E. Lucas, William T. Barry, Jong Wook Kim, Quanli Wang, Matthew D. Crawford, Michael Datto, Michael J. Kelley, Bernard Mathey-Prévôt, Anil Potti, Joseph R. Nevins

    Almmustuhtton 2010
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  17. 17
    Annotating pathogenic non-coding variants in genic regions

    Annotating pathogenic non-coding variants in genic regions Dahkki Sahar Gelfman, Quanli Wang, K. Melodi McSweeney, Zhong Ren, Francesca La Carpia, Matthew Halvorsen, Kelly Schoch, Fanni Ratzon, Erin L. Heinzen, Michael J. Boland, Slavé Petrovski, David B. Goldstein

    Almmustuhtton 2017
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  18. 18
    Diverse ancestral representation improves genetic intolerance metrics

    Diverse ancestral representation improves genetic intolerance metrics Dahkki Alexander Han, Chloe F. Sands, Dorota Matelska, Jessica C. Butts, Vida Ravanmehr, Fengyuan Hu, Esmeralda Villavicencio Gonzalez, Nicholas Katsanis, Carlos D. Bustamante, Quanli Wang, Slavé Petrovski, Dimitrios Vitsios, Ryan S. Dhindsa

    Almmustuhtton 2024
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  19. 19
    Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank

    Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank Dahkki Abhishek Nag, Ryan S. Dhindsa, Lawrence Middleton, Xiao Jiang, Dimitrios Vitsios, Eleanor M. Wigmore, Erik L. Allman, Anna Reznichenko, Keren Carss, Katherine R. Smith, Quanli Wang, Benjamin Challis, Dirk S. Paul, Andrew R. Harper, Slavé Petrovski

    Almmustuhtton 2023
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  20. 20
    Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank

    Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank Dahkki Manik Garg, Marcin Karpiński, Dorota Matelska, Lawrence Middleton, Oliver S. Burren, Fengyuan Hu, Eleanor Wheeler, Katherine R. Smith, Margarete A. Fabre, Jonathan Mitchell, Amanda O’Neill, Euan A. Ashley, Andrew R. Harper, Quanli Wang, Ryan S. Dhindsa, Slavé Petrovski, Dimitrios Vitsios

    Almmustuhtton 2024
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