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Methods (San Diego, Calif.)|January 9, 2022
Characterized the diversity of ABCB1 subtypes in immunogenomic landscape for predicting the drug response in breast cancerMeng Chi, Qilemuge Xi, Dongqing Su, et al.
Current Drug Metabolism|May 21, 2020
Using Reduced Amino Acid Alphabet and Biological Properties to Analyze and Predict Animal Neurotoxin ProteinYao Yu, Shiyuan Wang, Yakun Wang, et al.
Heliyon|May 22, 2023
Integrated analysis of ovarian cancer patients from prospective transcription factor activity reveals subtypes of prognostic significanceDongqing Su, Yuqiang Xiong, Haodong Wei, et al.
Briefings in Bioinformatics|December 10, 2020
Clinical significance and immunogenomic landscape analyses of the immune cell signature based prognostic model for patients with breast cancerShiyuan Wang, Yuqiang Xiong, Qi Zhang, et al.
Biochimica Et Biophysica Acta. Gene Regulatory Mechanisms|June 11, 2022
Deep learning-based transcription factor activity for stratification of breast cancer patientsYuqiang Xiong, Shiyuan Wang, Haodong Wei, et al.
Journal of Cellular and Molecular Medicine|April 7, 2020
Characterization of the relationship between FLI1 and immune infiltrate level in tumour immune microenvironment for breast cancerShiyuan Wang, Yakun Wang, Chunlu Yu, et al.
Briefings in Bioinformatics|December 1, 2023
Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapesMin Zou, Honghao Li, Dongqing Su, et al.
Briefings in Functional Genomics|March 29, 2022
Integrated multi-cohorts for characterizing the immunogenomic landscape and predicting drug response in triple-negative breast cancerDongqing Su, Meng Chi, Shiyuan Wang, et al.
Methods (San Diego, Calif.)|July 17, 2024
Machine learning-based prediction of diabetic patients using blood routine dataHonghao Li, Dongqing Su, Xinpeng Zhang, et al.
Briefings in Functional Genomics|November 10, 2021
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysisDongqing Su, Shiyuan Wang, Qilemuge Xi, et al.
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