Xiguo Yuan

According to our database, Xiguo Yuan authored at least 30 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

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, Qiang Yu, Xiguo Yuan

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

IhybCNV: An intra-hybrid approach for CNV detection from next-generation sequencing data.

Kun Xie, Kang Liu, Haque A. K. Alvi, Wenyue Ji, Shuzhen Wang, Liang Chang, 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

Detection of copy number variations from NGS data by using an adaptive kernel density estimation-based outlier factor.

Haque A. K. Alvi, Kun Xie, Kang Liu, Haiyong Zhao, Xiaohui Yang, Xiguo Yuan

Digit. Signal Process., 2022

Greedy-mRMR: An emotion recognition algorithm based on EEG using greedy algorithm.

Liying Yang, Qingyang Zhang, Si Chao, Dunhui Liu, Xiguo Yuan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

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, Junliang Shang, Zhe Li, Junbo Duan

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

STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome.

Xiguo Yuan, Chao Ma, Haiyong Zhao, Liying Yang, Shuzhen Wang, Jianing Xi

IEEE ACM Trans. Comput. Biol. Bioinform., 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

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

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

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

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

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data.

Xiguo Yuan, Jun Bai, Junying Zhang, Liying Yang, Junbo Duan, Yaoyao Li, Meihong Gao

IEEE ACM Trans. Comput. Biol. 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

Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication.

Jianing Xi, Xiguo Yuan, Minghui Wang, Ao Li, Xuelong Li, Qinghua Huang

Bioinform., 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

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

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

Identification of PIWI-interacting RNA modules by weighted correlation network analysis.

Yajun Liu, Junying Zhang, Aimin Li, Yuanyuan Zhang, Yaoyao Li, Xiguo Yuan, Zhongzhen He, Zhaowen Liu, Shouheng Tuo

Clust. Comput., 2019

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, Xiguo Yuan, Jin-Xing Liu

IEEE Access, 2019

2018

A new differential evolution algorithm for solving multimodal optimization problems with high dimensionality.

Shouheng Tuo, Junying Zhang, Xiguo Yuan, Longquan Yong

Soft Comput., 2018

2017

IntSIM: An Integrated Simulator of Next-Generation Sequencing Data.

Xiguo Yuan, Junying Zhang, Liying Yang

IEEE Trans. Biomed. Eng., 2017

Analysis of breast cancer subtypes by AP-ISA biclustering.

Liying Yang, Yunyan Shen, Xiguo Yuan, Junying Zhang, Jianhua Wei

BMC Bioinform., 2017

2015

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

2014

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

2013

mirPD: A pattern-based approach for identifying microRNAs from deep sequencing data.

Xiaohan Sun, Junying Zhang, Aimin Li, Xiguo Yuan

Digit. Signal Process., 2013

2012

An Overview of Population Genetic Data Simulation.

Xiguo Yuan, David J. Miller, Junying Zhang, David M. Herrington, Yue Wang

J. Comput. Biol., 2012

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

Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2007

Investigating Novel Immune-Inspired Multi-agent Systems for Anomaly Detection.

Haidong Fu, Xiguo Yuan, Kui Zhang, Xiaolong Zhang, Qi Xie

Proceedings of The 2nd IEEE Asia-Pacific Services Computing Conference, 2007