NOREVA: normalization and evaluation of MS-based metabolomics data. - Bo Li 093; Jing Tang; Qingxia Yang; Shuang Li; Xuejiao Cui; Yinghong Li 002; Yuzong Chen 002; Weiwei Xue; Xiaofeng Li; Feng Zhu 004 (Nucleic Acids Res., 2017)

The Exploration of a Machine Learning Approach for the Assessment of Learning Styles changes. - Yueer Wei; Qingxia Yang; Jiangping Chen; Jie Hu 020 (Mechatron. Syst. Control., 2018)

Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics. - Ying Hong Li 002; Chun Yan Yu; Xiao Xu Li; Peng Zhang 033; Jing Tang; Qingxia Yang; Tingting Fu; Xiaoyu Zhang; Xuejiao Cui; Gao Tu; Yang Zhang 125; Shuang Li; et al. (Nucleic Acids Res., 2018)

ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies. - Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li 093; Yinghong Li 002; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen 002; Weiwei Xue; Feng Zhu 004 (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 061; Bo Li 093; Qingxia Yang; Weiwei Xue; Yan Lou; Yunqing Qiu; Feng Zhu 004 (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 004 (Briefings Bioinform., 2020)

Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data. - Qingxia Yang; Bo Li 093; Jing Tang; Xuejiao Cui; Yunxia Wang; Xiaofeng Li; Jie Hu 020; Yuzong Chen 002; Weiwei Xue; Yan Lou; Yunqing Qiu; Feng Zhu 004 (Briefings Bioinform., 2020)

NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data. - Qingxia Yang; Yunxia Wang; Ying Zhang 061; Fengcheng Li; Weiqi Xia; Ying Zhou; Yunqing Qiu; Honglin Li 003; Feng Zhu 004 (Nucleic Acids Res., 2020)

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 002; Feng Zhu 004 (Briefings Bioinform., 2022)

LargeMetabo: an out-of-the-box tool for processing and analyzing large-scale metabolomic data. - Qingxia Yang; Bo Li 097; Panpan Wang; Jicheng Xie; Yuhao Feng; Ziqiang Liu; Feng Zhu 004 (Briefings Bioinform., 2022)

A novel multi-class classification model for schizophrenia, bipolar disorder and healthy controls using comprehensive transcriptomic data. - Qingxia Yang; Yi Li; Bo Li 097; Yaguo Gong (Comput. Biol. Medicine, 2022)

Label-free proteome quantification and evaluation. - Jianbo Fu; Qingxia Yang; Yongchao Luo; Song Zhang; Jing Tang; Ying Zhang 061; Hongning Zhang; Hanxiang Xu; Feng Zhu 004 (Briefings Bioinform., 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., 2023)

VesselTrack: Multi-object tracking of maritime vessels. - Qingxia Yang; Erkang Chen; Liyuan Chen; Weijia Li (ICBAR, 2024)

Vision Transformer with Key-Select Routing Attention for Single Image Dehazing. - Lihan Tong; Weijia Li; Qingxia Yang; Liyuan Chen; Peng Chen (IEICE Trans. Inf. Syst., 2024)