Using Protein Clusters from Whole Proteomes to Construct and Augment a Dendrogram. - Yunyun Zhou; Douglas R. Call; Shira L. Broschat (Adv. Bioinformatics, 2013)

Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study. - Silu Zhang; Yin-yuan Mo; Torumoy Ghoshal; Dawn Wilkins; Yixin Chen 002; Yunyun Zhou (BIBM, 2017)

A comparative study of multiclass feature selection on RNAseq and microarray data. - Silu Zhang; Junqing Wang; Keli Xu; Megan M. York; Yin-yuan Mo; Yixin Chen 002; Yunyun Zhou (Int. J. Comput. Biol. Drug Des., 2019)

LCLE: a web portal for lncRNA network analysis in liver cancer. - Xiuquan Wang; Keli Xu; Junqing Wang; Yunyun Zhou (Int. J. Comput. Biol. Drug Des., 2020)

Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder. - Jacqueline Peng; Mengge Zhao; James M. Havrilla; Cong Liu 020; Chunhua Weng; Whitney Guthrie; Robert T. Schultz; Kai Wang 049; Yunyun Zhou (BMC Medical Informatics Decis. Mak., 2020)

Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology. - Jacqueline Peng; David Xu 007; Ryan Lee; Siwei Xu; Yunyun Zhou; Kai Wang 049 (BMC Medical Informatics Decis. Mak., 2022)

Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data. - Zilin Ren; Quan Li; Kajia Cao; Marilyn M. Li; Yunyun Zhou; Kai Wang (BMC Bioinform., 2022)

Transformer-based DNA methylation detection on ionic signals from Oxford Nanopore sequencing data. - Xiuquan Wang; Mian Umair Ahsan; Yunyun Zhou; Kai Wang (Quant. Biol., 2023)

Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data. - Zilin Ren; Quan Li; Kajia Cao; Marilyn M. Li; Yunyun Zhou; Kai Wang (BMC Bioinform., 2023)

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT. - Jingye Yang; Cong Liu 020; Wendy Deng; Da Wu; Chunhua Weng; Yunyun Zhou; Kai Wang 049 (Patterns, 2024)