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Liuchao Zhang

Showing results (11-20 of 32) with videos related to

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Frontiers in Oncology|February 13, 2023
HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and developmentYue Huang, Zhiwei Rong, Liuchao Zhang, et al.
Metabolomics : Official Journal of the Metabolomic Society|September 20, 2021
WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch informationKui Deng, Falin Zhao, Zhiwei Rong, et al.
Epigenomics|October 6, 2022
A novel subtype to predict prognosis and treatment response with DNA driver methylation-transcription in ovarian cancerZhenyi Xu, Liuchao Zhang, Meng Wang, et al.
Journal of Molecular Medicine (Berlin, Germany)|November 17, 2023
Identifying survival of pan-cancer patients under immunotherapy using genomic mutation signature with large sample cohortsLiuchao Zhang, Yuanyuan Wang, Liuying Wang, et al.
Archives of Gynecology and Obstetrics|February 26, 2021
Incidence of and risk factors associated with lung metastases in newly diagnosed epithelial ovarian cancer with a look on prognosis after diagnosis: a population-based cohort study of the SEER databaseJiaqin Xu, Iftikhar Hussain, Liuying Wang, et al.
Analytical Chemistry|March 25, 2020
NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics DataZhiwei Rong, Qilong Tan, Lei Cao, et al.
Genes|December 23, 2022
Single-Cell Sequencing of Malignant Ascites Reveals Transcriptomic Remodeling of the Tumor Microenvironment during the Progression of Epithelial Ovarian CancerYiqun Li, Wenjie Wang, Danyun Wang, et al.
Journal of Immunotherapy (Hagerstown, Md. : 1997)|May 23, 2023
Biologically Interpretable Deep Learning To Predict Response to Immunotherapy In Advanced Melanoma Using Mutations and Copy Number VariationsLiuchao Zhang, Lei Cao, Shuang Li, et al.
Complementary Therapies in Medicine|January 30, 2022
Efficacy of Liuzijue Qigong in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysisShuanglan Xu, Dandan Zhang, Quan He, et al.
Nutrients|November 14, 2023
MicroRNA-34a Mediates High-Fat-Induced Hepatic Insulin Resistance by Targeting ENO3Yuanyuan Wang, Xue Zhao, Liuchao Zhang, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Frontiers in Oncology|February 13, 2023
HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and developmentYue Huang, Zhiwei Rong, Liuchao Zhang, et al.
Metabolomics : Official Journal of the Metabolomic Society|September 20, 2021
WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch informationKui Deng, Falin Zhao, Zhiwei Rong, et al.
Epigenomics|October 6, 2022
A novel subtype to predict prognosis and treatment response with DNA driver methylation-transcription in ovarian cancerZhenyi Xu, Liuchao Zhang, Meng Wang, et al.
Journal of Molecular Medicine (Berlin, Germany)|November 17, 2023
Identifying survival of pan-cancer patients under immunotherapy using genomic mutation signature with large sample cohortsLiuchao Zhang, Yuanyuan Wang, Liuying Wang, et al.
Archives of Gynecology and Obstetrics|February 26, 2021
Incidence of and risk factors associated with lung metastases in newly diagnosed epithelial ovarian cancer with a look on prognosis after diagnosis: a population-based cohort study of the SEER databaseJiaqin Xu, Iftikhar Hussain, Liuying Wang, et al.
Analytical Chemistry|March 25, 2020
NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics DataZhiwei Rong, Qilong Tan, Lei Cao, et al.
Genes|December 23, 2022
Single-Cell Sequencing of Malignant Ascites Reveals Transcriptomic Remodeling of the Tumor Microenvironment during the Progression of Epithelial Ovarian CancerYiqun Li, Wenjie Wang, Danyun Wang, et al.
Journal of Immunotherapy (Hagerstown, Md. : 1997)|May 23, 2023
Biologically Interpretable Deep Learning To Predict Response to Immunotherapy In Advanced Melanoma Using Mutations and Copy Number VariationsLiuchao Zhang, Lei Cao, Shuang Li, et al.
Complementary Therapies in Medicine|January 30, 2022
Efficacy of Liuzijue Qigong in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysisShuanglan Xu, Dandan Zhang, Quan He, et al.
Nutrients|November 14, 2023
MicroRNA-34a Mediates High-Fat-Induced Hepatic Insulin Resistance by Targeting ENO3Yuanyuan Wang, Xue Zhao, Liuchao Zhang, et al.
Pageof 4