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Cancer Informatics|December 29, 2025
Clustering Analysis of Multiple Omics Data Types Identifies Cancer Patients With Consistent Survival OutcomesShuting Lin, Peng QiuBMC Genomics|January 28, 2025
Predicting microRNA target genes using pan-cancer correlation patternsShuting Lin, Peng QiuBMC Genomics|November 19, 2022
Comprehensive analysis of TCGA data reveals correlation between DNA methylation and alternative splicingShuting Lin, Soojin Yi, Peng QiuCancer Informatics|November 7, 2022
Methylation of CpG Sites as Biomarkers Predictive of Drug-Specific Patient Survival in CancerBridget Neary, Shuting Lin, Peng QiuScientific Reports|April 27, 2022
Integrative analysis of TCGA data identifies miRNAs as drug-specific survival biomarkersShuting Lin, Jie Zhou, Yiqiong Xiao, et al.Archives of Oral Biology|October 27, 2025
MIR375 hypermethylation as a prognostic predictor for head and neck squamous cell carcinoma: Insights from The Cancer Genome Atlas (TCGA)Ana Carolina da Silva Lima, Ileana Gabriela Sanghez de Rubió, Shuting Lin, et al.Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 25, 2017
Toward deterministic and semiautomated SPADE analysisPeng QiuCytometry. Part a : the Journal of the International Society for Analytical Cytology|March 11, 2015
Computational prediction of manually gated rare cells in flow cytometry dataPeng QiuIEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
Unfold High-Dimensional Clouds for Exhaustive Gating of Flow Cytometry DataPeng QiuPageof 43