Qingxia Yang

发表

Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains.

Lixia Yao, Yuzong Chen, Bo Li, 2019, Molecular & cellular proteomics : MCP.

NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data

Y. Qiu, Feng Zhu, Yunxia Wang, 2020, Nucleic Acids Res..

ConSIG: consistent discovery of molecular signature from OMIC data

Yuzong Chen, Qingxia Yang, Fengcheng Li, 2022, Briefings Bioinform..

Combined Metabolomic Analysis of Plasma and Tissue Reveals a Prognostic Risk Score System and Metabolic Dysregulation in Esophageal Squamous Cell Carcinoma

Xiancong Huang, W. Mao, S. Zeng, 2020, Frontiers in Oncology.

A novel multi-class classification model for schizophrenia, bipolar disorder and healthy controls using comprehensive transcriptomic data

Bo Li, Bo Li, Qingxia Yang, 2022, Comput. Biol. Medicine.

Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics

Tingting Fu, Xiaoyu Zhang, Xiao Xu Li, 2017, Nucleic Acids Res..

Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis

Feng Zhu, Na Chen, Sijie Chen, 2016, Scientific Reports.

Biomarker Discovery for Immunotherapy of Pituitary Adenomas: Enhanced Robustness and Prediction Ability by Modern Computational Tools

Yi Li, Feng Zhu, Jing Tang, 2019, International journal of molecular sciences.

Identification of the gene signature reflecting schizophrenia’s etiology by constructing artificial intelligence‐based method of enhanced reproducibility

Jing Tang, Feng Zhu, Song Zhang, 2019, CNS neuroscience & therapeutics.

A critical assessment of the feature selection methods used for biomarker discovery in current metaproteomics studies

Feng Zhu, Yunxia Wang, Jing Tang, 2019, Briefings Bioinform..

Optimization of metabolomic data processing using NOREVA

Feng Zhu, Jing Tang, Jianbo Fu, 2021, Nature Protocols.

MMEASE: Online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis.

Li Bo, Sijie Chen, Li Yi, 2020, Journal of proteomics.

Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data

Xiaofeng Li, Feng Zhu, Yunxia Wang, 2019, Briefings Bioinform..

ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies

Xiaofeng Li, Feng Zhu, Jing Tang, 2019, Briefings Bioinform..

Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains*

Feng Zhu, Weiwei Xue, Yongchao Luo, 2019, Molecular & Cellular Proteomics.

Discovery of the Consistently Well-Performed Analysis Chain for SWATH-MS Based Pharmacoproteomic Quantification

Feng Zhu, Shuang Li, Yuzong Chen, 2018, Front. Pharmacol..

NOREVA: normalization and evaluation of MS-based metabolomics data

Bo Li, Xiaofeng Li, Feng Zhu, 2017, Nucleic Acids Res..

Computational Advances in the Label-free Quantification of Cancer Proteomics Data.

Feng Zhu, Jing Tang, Yi Li, 2019, Current pharmaceutical design.

Assessing the Effectiveness of Direct Data Merging Strategy in Long-Term and Large-Scale Pharmacometabonomics

Feng Zhu, Shuang Li, Jie Hu, 2019, Front. Pharmacol..

Optimization of metabolomic data processing using NOREVA

Jing Tang, Jianbo Fu, Yunxia Wang, 2021, Nature Protocols.

Determining the Balance Between Drug Efficacy and Safety by the Network and Biological System Profile of Its Therapeutic Target

Feng Zhu, Yunxia Wang, Weiwei Xue, 2018, Front. Pharmacol..

Comparison of standardization approaches applied to metabolomics data

Bo Li, Feng Zhu, Qingxia Yang, 2017, BIOINFORMATICS 2017.

A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies

Feng Zhu, Yi Li, Weiwei Xue, 2019, Briefings Bioinform..

The Exploration of a Machine Learning Approach for the Assessment of Learning Styles changes

Jie Hu, Jiangping Chen, Jie Hu, 2018, Mechatron. Syst. Control..

LargeMetabo: an out-of-the-box tool for processing and analyzing large-scale metabolomic data

Bo Li, Panpan Wang, Feng Zhu, 2022, Briefings Bioinform..

Critical Assessment of the Biomarker Discovery and Classification Methods for Multiclass Metabolomics.

Qingxia Yang, Yaguo Gong, Feng Zhu, 2023, Analytical chemistry.

SSizer: Determining the Sample Sufficiency for Comparative Biological Study.

Yang Zhang, Ying Zhou, Feng Zhu, 2020, Journal of molecular biology.

Construction of the Classification Model Using Key Genes Identified Between Benign and Malignant Thyroid Nodules From Comprehensive Transcriptomic Data

Qingxia Yang, Yaguo Gong, 2022, Frontiers in Genetics.

Label-free proteome quantification and evaluation

Feng Zhu, Jing Tang, Jianbo Fu, 2022, Briefings Bioinform..