Qingxia Yang

According to our database, Qingxia Yang authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Evaluating Machine Learning Methods of Analyzing Multiclass Metabolomics.

Yaguo Gong, Wei Ding, Panpan Wang, Qibiao Wu, Xiaojun Yao, Qingxia Yang

J. Chem. Inf. Model., December, 2023

Label-free proteome quantification and evaluation.

Jianbo Fu, Qingxia Yang, Yongchao Luo, Song Zhang, Jing Tang, Ying Zhang, Hongning Zhang, Hanxiang Xu, Feng Zhu

Briefings Bioinform., January, 2023

2022

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

Qingxia Yang, Yi Li, Bo Li, Yaguo Gong

Comput. Biol. Medicine, 2022

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

Qingxia Yang, Bo Li, Panpan Wang, Jicheng Xie, Yuhao Feng, Ziqiang Liu, Feng Zhu

Briefings Bioinform., 2022

ConSIG: consistent discovery of molecular signature from OMIC data.

Fengcheng Li, Jiayi Yin, Mingkun Lu, Qingxia Yang, Zhenyu Zeng, Bing Zhang, Zhaorong Li, Yunqing Qiu, Haibin Dai, Yuzong Chen, Feng Zhu

Briefings Bioinform., 2022

2020

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

Qingxia Yang, Yunxia Wang, Ying Zhang, Fengcheng Li, Weiqi Xia, Ying Zhou, Yunqing Qiu, Honglin Li, Feng Zhu

Nucleic Acids Res., 2020

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

Qingxia Yang, Bo Li, Jing Tang, Xuejiao Cui, Yunxia Wang, Xiaofeng Li, Jie Hu, Yuzong Chen, Weiwei Xue, Yan Lou, Yunqing Qiu, Feng Zhu

Briefings Bioinform., 2020

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

Qingxia Yang, Jiajun Hong, Yi Li, Weiwei Xue, Song Li, Hui Yang, Feng Zhu

Briefings Bioinform., 2020

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

Jing Tang, Yunxia Wang, Jianbo Fu, Ying Zhou, Yongchao Luo, Ying Zhang, Bo Li, Qingxia Yang, Weiwei Xue, Yan Lou, Yunqing Qiu, Feng Zhu

Briefings Bioinform., 2020

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

Jing Tang, Jianbo Fu, Yunxia Wang, Bo Li, Yinghong Li, Qingxia Yang, Xuejiao Cui, Jiajun Hong, Xiaofeng Li, Yuzong Chen, Weiwei Xue, Feng Zhu

Briefings Bioinform., 2020

2018

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

Ying Hong Li, Chun Yan Yu, Xiao Xu Li, Peng Zhang, Jing Tang, Qingxia Yang, Tingting Fu, Xiaoyu Zhang, Xuejiao Cui, Gao Tu, Yang Zhang, Shuang Li, Fengyuan Yang, Qiu Sun, Chu Qin, Xian Zeng, Zhe Chen, Yu Zong Chen, Feng Zhu

Nucleic Acids Res., 2018

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

Yueer Wei, Qingxia Yang, Jiangping Chen, Jie Hu

Mechatron. Syst. Control., 2018

2017

NOREVA: normalization and evaluation of MS-based metabolomics data.

Bo Li, Jing Tang, Qingxia Yang, Shuang Li, Xuejiao Cui, Yinghong Li, Yuzong Chen, Weiwei Xue, Xiaofeng Li, Feng Zhu

Nucleic Acids Res., 2017