Hasil Pencarian - Pingzhao Hu

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  1. 1
    Differential Private Deep Learning Models for Analyzing Breast Cancer Omics Data

    Differential Private Deep Learning Models for Analyzing Breast Cancer Omics Data oleh Md. Mohaiminul Islam, Noman Mohammed, Yang Wang, Pingzhao Hu, Pingzhao Hu, Pingzhao Hu, Pingzhao Hu

    Diterbitkan 2022-06-01
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  2. 2
    Association Analysis of Somatic Copy Number Alteration Burden With Breast Cancer Survival

    Association Analysis of Somatic Copy Number Alteration Burden With Breast Cancer Survival oleh Linfan Zhang, Linfan Zhang, Nikta Feizi, Nikta Feizi, Chen Chi, Chen Chi, Pingzhao Hu, Pingzhao Hu, Pingzhao Hu, Pingzhao Hu

    Diterbitkan 2018-10-01
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  3. 3
    Computational Prediction of the Pathogenic Status of Cancer-Specific Somatic Variants

    Computational Prediction of the Pathogenic Status of Cancer-Specific Somatic Variants oleh Nikta Feizi, Qian Liu, Qian Liu, Leigh Murphy, Leigh Murphy, Pingzhao Hu, Pingzhao Hu, Pingzhao Hu

    Diterbitkan 2022-01-01
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  4. 4
    Modeling Gene-Environment Interaction for the Risk of Non-hodgkin Lymphoma

    Modeling Gene-Environment Interaction for the Risk of Non-hodgkin Lymphoma oleh Jiahui Zhang, Xibiao Ye, Cuie Wu, Hua Fu, Wei Xu, Wei Xu, Pingzhao Hu, Pingzhao Hu, Pingzhao Hu

    Diterbitkan 2019-01-01
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  5. 5
    A novel integrative computational framework for breast cancer radiogenomic biomarker discovery

    A novel integrative computational framework for breast cancer radiogenomic biomarker discovery oleh Qian Liu, Pingzhao Hu

    Diterbitkan 2022-01-01
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  6. 6
    Computational drug repurposing for inflammatory bowel disease using genetic information

    Computational drug repurposing for inflammatory bowel disease using genetic information oleh Liam Grenier, Pingzhao Hu

    Diterbitkan 2019-01-01
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  7. 7
    Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer

    Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer oleh Qian Liu, Pingzhao Hu

    Diterbitkan 2023-01-01
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  8. 8
    Computational Drug Repurposing for Alzheimer’s Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing Studies

    Computational Drug Repurposing for Alzheimer’s Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing Studies oleh Yun Xu, Jiming Kong, Pingzhao Hu

    Diterbitkan 2021-06-01
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  9. 9
    A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA

    A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA oleh Qian Liu, Qian Liu, Qian Liu, Daryl L. X. Fung, Leann Lac, Pingzhao Hu, Pingzhao Hu

    Diterbitkan 2021-10-01
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  10. 10
    Integrative Analysis of Gene Expression Data Including an Assessment of Pathway Enrichment for Predicting Prostate Cancer

    Integrative Analysis of Gene Expression Data Including an Assessment of Pathway Enrichment for Predicting Prostate Cancer oleh Pingzhao Hu, Celia M.T. Greenwood, Joseph Beyene

    Diterbitkan 2006-01-01
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  11. 11
    A Maximum Flow-Based Approach to Prioritize Drugs for Drug Repurposing of Chronic Diseases

    A Maximum Flow-Based Approach to Prioritize Drugs for Drug Repurposing of Chronic Diseases oleh Md. Mohaiminul Islam, Yang Wang, Pingzhao Hu

    Diterbitkan 2021-10-01
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  12. 12
    A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images

    A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images oleh Qian Liu, Carson K. Leung, Pingzhao Hu

    Diterbitkan 2020-01-01
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  13. 13
    Predicting breast cancer drug response using a multiple-layer cell line drug response network model

    Predicting breast cancer drug response using a multiple-layer cell line drug response network model oleh Shujun Huang, Pingzhao Hu, Ted M. Lakowski

    Diterbitkan 2021-05-01
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  14. 14
    NNICE: a deep quantile neural network algorithm for expression deconvolution

    NNICE: a deep quantile neural network algorithm for expression deconvolution oleh Yong Won Jin, Pingzhao Hu, Qian Liu

    Diterbitkan 2024-06-01
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  15. 15
    A Novel Graph-based Algorithm to Infer Recurrent Copy Number Variations in Cancer

    A Novel Graph-based Algorithm to Infer Recurrent Copy Number Variations in Cancer oleh Chen Chi, Rasif Ajwad, Qin Kuang, Pingzhao Hu

    Diterbitkan 2016-10-01
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  16. 16
    ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning.

    ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning. oleh Youcheng Li, Leann Lac, Qian Liu, Pingzhao Hu

    Diterbitkan 2024-06-01
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  17. 17
    A Novel Graph-based Algorithm to Infer Recurrent Copy Number Variations in Cancer

    A Novel Graph-based Algorithm to Infer Recurrent Copy Number Variations in Cancer oleh Chen Chi, Rasif Ajwad, Qin Kuang, Pingzhao Hu

    Diterbitkan 2016-01-01
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  18. 18
    Automated Counting of Cancer Cells by Ensembling Deep Features

    Automated Counting of Cancer Cells by Ensembling Deep Features oleh Qian Liu, Anna Junker, Kazuhiro Murakami, Pingzhao Hu

    Diterbitkan 2019-09-01
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  19. 19
    An OpenMP-based tool for finding longest common subsequence in bioinformatics

    An OpenMP-based tool for finding longest common subsequence in bioinformatics oleh Rayhan Shikder, Parimala Thulasiraman, Pourang Irani, Pingzhao Hu

    Diterbitkan 2019-04-01
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  20. 20
    Isolation and characterization of a new basal-like luminal progenitor in human breast tissue

    Isolation and characterization of a new basal-like luminal progenitor in human breast tissue oleh Vasudeva Bhat, Victoria Lee-Wing, Pingzhao Hu, Afshin Raouf

    Diterbitkan 2019-08-01
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