Liuchao Zhang

发表

Efficacy of Liuzijue Qigong in Patients With Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-analysis.

Linfu Zhou, Zi Chen, Quan He, 2022, Complementary therapies in medicine.

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 database

I. Hussain, Kui Deng, Kang Li, 2021, Archives of Gynecology and Obstetrics.

Identifying Potential Markers for Monitoring Progression to Ovarian Cancer Using Plasma Label-free Proteomics

Wenjie Wang, Hongyu Xie, Yan Hou, 2019, Journal of Cancer.

Identification of potential biomarkers and pathogenesis in neutrophil-predominant severe asthma: A comprehensive bioinformatics analysis

Linfu Zhou, Zi Chen, Chen-hui Ma, 2022, Medicine.

A novel subtype to predict prognosis and treatment response with DNA driver methylation-transcription in ovarian cancer.

M. Zhang, Yan Hou, Kang Li, 2022, Epigenomics.

Single-Cell Sequencing of Malignant Ascites Reveals Transcriptomic Remodeling of the Tumor Microenvironment during the Progression of Epithelial Ovarian Cancer

Wenjie Wang, Hongyu Xie, Kang Li, 2022, Genes.

NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data.

Kui Deng, Kang Li, Qilong Tan, 2020, Analytical chemistry.

HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and development

Weisha Liu, Yan Hou, Kang Li, 2023, Frontiers in Oncology.

Methylation biomarkers with discriminating ability are potential therapeutic targets in lung adenocarcinoma.

Wenjie Wang, Kai Yang, Kui Deng, 2020, Epigenomics.

Associations between the compositional patterns of blood volatile organic compounds and chronic respiratory diseases and ages at onset in NHANES 2003-2012.

Liang Chen, Jingkun Li, Xia Chu, 2023, Chemosphere.

WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch information

Kui Deng, Yan Hou, Kang Li, 2021, Metabolomics.

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade

Kang Li, Lei Cao, Liuchao Zhang, 2023, Pharmaceuticals.

E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image

Z. Liu, Wenjie Wang, Kui Deng, 2023, Medical Image Anal..

Biologically Interpretable Deep Learning To Predict Response to Immunotherapy In Advanced Melanoma Using Mutations and Copy Number Variations

K. Li, Zhenyi Xu, Yue Huang, 2023, Journal of immunotherapy.

Animal models: An essential tool to dissect the heterogeneity of chronic obstructive pulmonary disease

Linfu Zhou, Zi Chen, Jingxian Jiang, 2023, Journal of translational internal medicine.

A Novel Acetylation-Immune Subtyping for the Identification of a BET Inhibitor-Sensitive Subgroup in Melanoma

Kang Li, Lei Cao, Liuchao Zhang, 2023, Pharmaceuticals.

A bidirectional interpretable compound-protein interaction prediction framework based on cross attention.

Zhiwei Rong, Lei Cao, Liuchao Zhang, 2024, Computers in biology and medicine.

BiMPADR: A Deep Learning Framework for Predicting Adverse Drug Reactions in New Drugs

Lei Cao, Liuchao Zhang, Liuying Wang, 2024, Molecules.