An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data. - Yongjun Piao; Minghao Piao; Kiejung Park; Keun Ho Ryu (Bioinform., 2012)

Ensemble method for classification of high-dimensional data. - Yongjun Piao; Hyun Woo Park; Cheng Hao Jin; Keun Ho Ryu (BigComp, 2014)

Comparing the normalization methods for the differential analysis of Illumina high-throughput RNA-Seq data. - Peipei Li 004; Yongjun Piao; Ho Shon; Keun Ho Ryu (BMC Bioinform., 2015)

A Hybrid Feature Selection Method Based on Symmetrical Uncertainty and Support Vector Machine for High-Dimensional Data Classification. - Yongjun Piao; Keun Ho Ryu (ACIIDS (1), 2017)

Detection of differentially expressed genes using feature selection approach from RNA-seq. - Yongjun Piao; Keun Ho Ryu (BigComp, 2017)

A Hybrid Feature Selection Method to Classification and Its Application in Hypertension Diagnosis. - Hyun Woo Park; Dingkun Li; Yongjun Piao; Keun Ho Ryu (ITBAM, 2017)

CAME: identification of chromatin accessibility from nucleosome occupancy and methylome sequencing. - Yongjun Piao; Seongkeon Lee; Eun-Joon Lee; Keith D. Robertson; Huidong Shi (Bioinform., 2017)

Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles. - Yongjun Piao; Minghao Piao; Keun Ho Ryu (Comput. Biol. Medicine, 2017)

Identification of DNA Methylation Signatures for Diagnosis of Lung Adenocarcinoma. - Yongjun Piao; Kwang-Ho Park; Keun Ho Ryu; Rong Xiang (iCAST, 2019)

Symmetrical Uncertainty-Based Feature Subset Generation and Ensemble Learning for Electricity Customer Classification. - Minghao Piao; Yongjun Piao; Jong Yun Lee (Symmetry, 2019)

Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes. - Cheng Hao Jin; Hyun-Jin Kim; Yongjun Piao; Meijing Li; Minghao Piao (J. Intell. Manuf., 2020)

An Efficient Prediction Method for Coronary Heart Disease Risk Based on Two Deep Neural Networks Trained on Well-Ordered Training Datasets. - Tsatsral Amarbayasgalan; Van Huy Pham 001; Nipon Theera-Umpon; Yongjun Piao; Keun Ho Ryu (IEEE Access, 2021)

Deciphering Myopia: Insights From Single-Cell Data and Machine Learning Approaches. - Junwei Hu; Yule Zhang; Yongjun Piao (DSC, 2024)

A prognostic model based on five characteristic genes to predict the prognosis of patients with hepatocellular carcinoma. - Lidi Wu; Yang Liu; Jiale Yang; Yongjun Piao (DSC, 2024)

Single-cell RNA sequencing analysis reveals transcriptional dynamics of immune cells during ovarian cancer metastasis. - Yan Yan; Yukun Wang; Yiru Da; Yongjun Piao (DSC, 2024)