Investigating Novel Immune-Inspired Multi-agent Systems for Anomaly Detection. - Haidong Fu; Xiguo Yuan; Kui Zhang; Xiaolong Zhang 002; Qi Xie (APSCC, 2007)

Accurate identification of significant aberrations in contaminated cancer genome. - Xuchu Hou; Guoqiang Yu; Xiguo Yuan; Bai Zhang; Ie-Ming Shih; Zhen Zhang; Robert Clarke; Subha Madhavan (GENSiPS, 2012)

An Overview of Population Genetic Data Simulation. - Xiguo Yuan; David J. Miller 001; Junying Zhang; David M. Herrington; Yue Wang 021 (J. Comput. Biol., 2012)

mirPD: A pattern-based approach for identifying microRNAs from deep sequencing data. - Xiaohan Sun; Junying Zhang; Aimin Li; Xiguo Yuan (Digit. Signal Process., 2013)

AISAIC: a software suite for accurate identification of significant aberrations in cancers. - Bai Zhang; Xuchu Hou; Xiguo Yuan; Ie-Ming Shih; Zhen Zhang; Robert Clarke; Roger R. Wang; Yi Fu; Subha Madhavan; Yue Joseph Wang; Guoqiang Yu (Bioinform., 2014)

A harmony search algorithm for high-dimensional multimodal optimization problems. - Shouheng Tuo; Junying Zhang; Longquan Yong; Xiguo Yuan; Baobao Liu; Xiaoyang Xu; Fang'an Deng (Digit. Signal Process., 2015)

Analysis of breast cancer subtypes by AP-ISA biclustering. - Liying Yang 001; Yunyan Shen; Xiguo Yuan; Junying Zhang; Jianhua Wei (BMC Bioinform., 2017)

IntSIM: An Integrated Simulator of Next-Generation Sequencing Data. - Xiguo Yuan; Junying Zhang; Liying Yang 001 (IEEE Trans. Biomed. Eng., 2017)

A new differential evolution algorithm for solving multimodal optimization problems with high dimensionality. - Shouheng Tuo; Junying Zhang; Xiguo Yuan; Longquan Yong (Soft Comput., 2018)

NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers. - Qian Ding; Junliang Shang; Yan Sun; Guangshuai Liu; Feng Li 033; Xiguo Yuan; Jin-Xing Liu 001 (IEEE Access, 2019)

Identification of PIWI-interacting RNA modules by weighted correlation network analysis. - Yajun Liu; Junying Zhang; Aimin Li; Yuanyuan Zhang 008; Yaoyao Li; Xiguo Yuan; Zhongzhen He; Zhaowen Liu; Shouheng Tuo (Clust. Comput., 2019)

BagGMM: Calling copy number variation by bagging multiple Gaussian mixture models from tumor and matched normal next-generation sequencing data. - Yaoyao Li; Junying Zhang; Xiguo Yuan (Digit. Signal Process., 2019)

dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data. - Yaoyao Li; Junying Zhang; Xiguo Yuan; Junping Li (IEEE Access, 2020)

CRSCNV: A Cross-Model-Based Statistical Approach to Detect Copy Number Variations in Sequence Data. - Guojun Liu; Xiguo Yuan; Junying Zhang; Haiyong Zhao; Junping Li; Junbo Duan (IEEE Access, 2020)

Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication. - Jianing Xi; Xiguo Yuan; Minghui Wang; Ao Li 001; Xuelong Li 001; Qinghua Huang (Bioinform., 2020)

Comparative study of whole exome sequencing-based copy number variation detection tools. - Lanling Zhao; Han Liu; Xiguo Yuan; Kun Gao; Junbo Duan (BMC Bioinform., 2020)

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data. - Xiguo Yuan; Jun Bai; Junying Zhang; Liying Yang 001; Junbo Duan; Yaoyao Li; Meihong Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

SVSR: A Program to Simulate Structural Variations and Generate Sequencing Reads for Multiple Platforms. - Xiguo Yuan; Meihong Gao; Jun Bai; Junbo Duan (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

DeepTIS: Improved translation initiation site prediction in genomic sequence via a two-stage deep learning model. - Chao Wei; Junying Zhang; Xiguo Yuan (Digit. Signal Process., 2021)

Detection and inference of interspersed duplicated insertions from paired-end reads. - Xiguo Yuan; Wenlu Xie; Hongzhi Yang; Jun Bai; Ruwu Yang; Guojun Liu; Haque A. K. Alvi (Digit. Signal Process., 2021)

NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework. - Chao Wei; Junying Zhang; Xiguo Yuan; Zongzhen He; Guojun Liu; Jinhui Wu (Knowl. Based Syst., 2021)

A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data. - Xiguo Yuan; Junping Li; Jun Bai; Jianing Xi (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome. - Xiguo Yuan; Chao Ma; Haiyong Zhao; Liying Yang 001; Shuzhen Wang; Jianing Xi (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

ERINS: Novel Sequence Insertion Detection by Constructing an Extended Reference. - Xiguo Yuan; Xiangyan Xu; Haiyong Zhao; Junbo Duan (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. - Xiguo Yuan; Jiaao Yu; Jianing Xi; Liying Yang 001; Junliang Shang; Zhe Li; Junbo Duan (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Greedy-mRMR: An emotion recognition algorithm based on EEG using greedy algorithm. - Liying Yang 001; Qingyang Zhang; Si Chao; Dunhui Liu; Xiguo Yuan (BIBM, 2022)

Detection of copy number variations from NGS data by using an adaptive kernel density estimation-based outlier factor. - Haque A. K. Alvi; Kun Xie 011; Kang Liu; Haiyong Zhao; Xiaohui Yang; Xiguo Yuan (Digit. Signal Process., 2022)

Enhancing the prediction of protein coding regions in biological sequence via a deep learning framework with hybrid encoding. - Chao Wei; Junying Zhang; Xiguo Yuan (Digit. Signal Process., 2022)

IhybCNV: An intra-hybrid approach for CNV detection from next-generation sequencing data. - Kun Xie 011; Kang Liu; Haque A. K. Alvi; Wenyue Ji; Shuzhen Wang; Liang Chang 003; Xiguo Yuan (Digit. Signal Process., 2022)

LDSSNV: A Linkage Disequilibrium-Based Method for the Detection of Somatic Single-Nucleotide Variants. - Jingfen Lan; Wenxiang Chen; Ganggang Yin; Haque A. K. Alvi; Kun Xie 011; Qiang Yu 003; Xiguo Yuan (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)