Хайлтын үр дүнгүүд - Qiu Wang

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  1. 1
    Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing

    Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing -н Rong Xu, QuanQiu Wang

    Хэвлэсэн 2013
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    Artigo
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  2. 2
    Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles

    Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles -н Rong Xu, QuanQiu Wang

    Хэвлэсэн 2015
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    Artigo
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  3. 3
    Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

    Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection -н Rong Xu, QuanQiu Wang

    Хэвлэсэн 2014
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    Artigo
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  4. 4
    Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

    Towards understanding brain-gut-microbiome connections in Alzheimer’s disease -н Rong Xu, QuanQiu Wang

    Хэвлэсэн 2016
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    Artigo
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  5. 5
    Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

    Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis -н QuanQiu Wang, Rong Xu

    Хэвлэсэн 2019
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    Artigo
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  6. 6
    A genome-wide systems analysis reveals strong link between colorectal cancer and trimethylamine N-oxide (TMAO), a gut microbial metabolite of dietary meat and fat

    A genome-wide systems analysis reveals strong link between colorectal cancer and trimethylamine N-oxide (TMAO), a gut microbial metabolite of dietary meat and fat -н Rong Xu, QuanQiu Wang, Li Li

    Хэвлэсэн 2015
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    Artigo
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  7. 7
    dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

    dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text -н Rong Xu, Li Li, QuanQiu Wang

    Хэвлэсэн 2014
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    Artigo
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  8. 8
    Towards building a disease-phenotype knowledge base: extracting disease-manifestation relationship from literature

    Towards building a disease-phenotype knowledge base: extracting disease-manifestation relationship from literature -н Rong Xu, Li Li, QuanQiu Wang

    Хэвлэсэн 2013
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    Artigo
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  9. 9
    iCDI-W2vCom: Identifying the Ion Channel–Drug Interaction in Cellular Networking Based on word2vec and node2vec

    iCDI-W2vCom: Identifying the Ion Channel–Drug Interaction in Cellular Networking Based on word2vec and node2vec -н Zheng, Jie, Xiao, Xuan, Qiu, Wang-Ren

    Хэвлэсэн 2021
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  10. 10
    DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method

    DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method -н Zheng, Jie, Xiao, Xuan, Qiu, Wang-Ren

    Хэвлэсэн 2022
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  11. 11
    Increased risk of <scp>COVID</scp>‐19 infection and mortality in people with mental disorders: analysis from electronic health records in the United States

    Increased risk of <scp>COVID</scp>‐19 infection and mortality in people with mental disorders: analysis from electronic health records in the United States -н QuanQiu Wang, Rong Xu, Nora D. Volkow

    Хэвлэсэн 2020
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    Artigo
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  12. 12
    When hematologic malignancies meet COVID-19 in the United States: Infections, death and disparities

    When hematologic malignancies meet COVID-19 in the United States: Infections, death and disparities -н QuanQiu Wang, Nathan A. Berger, Rong Xu

    Хэвлэсэн 2020
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    Revisão
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  13. 13
    Analyses of Risk, Racial Disparity, and Outcomes Among US Patients With Cancer and COVID-19 Infection

    Analyses of Risk, Racial Disparity, and Outcomes Among US Patients With Cancer and COVID-19 Infection -н QuanQiu Wang, Nathan A. Berger, Rong Xu

    Хэвлэсэн 2020
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    Artigo
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  14. 14
    iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components

    iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components -н Qiu, Wang-Ren, Xiao, Xuan, Chou, Kuo-Chen

    Хэвлэсэн 2014
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  15. 15
    Serum High-Density Lipoprotein Cholesterol Concentrations in Pancreatic Ductal Adenocarcinoma and Its Association With Histological Grade in a Chinese Population

    Serum High-Density Lipoprotein Cholesterol Concentrations in Pancreatic Ductal Adenocarcinoma and Its Association With Histological Grade in a Chinese Population -н Zhong-Qiu Wang, Xiaojing Lv, Hui Li, Li-Chao Qian, Haipeng Si, Yuan Li, Kai Guo, Shuai Ren, Zhong-Qiu Wang

    Хэвлэсэн 2025
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    Artigo
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  16. 16
    Copper-Catalyzed Three-Component Aminofluorination of Alkenes and 1,3-Dienes: Direct Entry to Diverse β-Fluoroalkylamines

    Copper-Catalyzed Three-Component Aminofluorination of Alkenes and 1,3-Dienes: Direct Entry to Diverse β-Fluoroalkylamines -н Guang‐Shou Feng, Colton K. Ku, Jiaqi Zhao, Qiu Wang

    Хэвлэсэн 2022
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    Artigo
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  17. 17
    Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition

    Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition -н Liu, Zi, Xiao, Xuan, Qiu, Wang-Ren, Chou, Kuo-Chen

    Хэвлэсэн 2015
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  18. 18
    iSS-PC: Identifying Splicing Sites via Physical-Chemical Properties Using Deep Sparse Auto-Encoder

    iSS-PC: Identifying Splicing Sites via Physical-Chemical Properties Using Deep Sparse Auto-Encoder -н Xu, Zhao-Chun, Wang, Peng, Qiu, Wang-Ren, Xiao, Xuan

    Хэвлэсэн 2017
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  19. 19
    Using Cellular Automata to Simulate Domain Evolution in Proteins

    Using Cellular Automata to Simulate Domain Evolution in Proteins -н Xiao, Xuan, Xue, Guang-Fu, Stamatovic, Biljana, Qiu, Wang-Ren

    Хэвлэсэн 2020
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  20. 20
    COVID-19 risk and outcomes in patients with substance use disorders: analyses from electronic health records in the United States

    COVID-19 risk and outcomes in patients with substance use disorders: analyses from electronic health records in the United States -н Quan Qiu Wang, David C. Kaelber, Rong Xu, Nora D. Volkow

    Хэвлэсэн 2020
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    Artigo
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