Xiguo Yuan

发表

SVSR: A Program to Simulate Structural Variations and Generate Sequencing Reads for Multiple Platforms

Junbo Duan, Jun Bai, Xiguo Yuan, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data

Liying Yang, Zhe Li, Junbo Duan, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework

Chao Wei, Xiguo Yuan, Junying Zhang, 2020, Knowl. Based Syst..

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

Liying Yang, Junying Zhang, Junbo Duan, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A harmony search algorithm for high-dimensional multimodal optimization problems

Longquan Yong, Junying Zhang, Fang'an Deng, 2015, Digit. Signal Process..

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

Longquan Yong, Junying Zhang, Shouheng Tuo, 2018, Soft Comput..

Comparative study of whole exome sequencing-based copy number variation detection tools

Junbo Duan, Han Liu, Xiguo Yuan, 2020, BMC Bioinformatics.

An Overview of Population Genetic Data Simulation

Yue Wang, David M. Herrington, David J. Miller, 2012, J. Comput. Biol..

A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data

Jun Bai, Xiguo Yuan, Jianing Xi, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A deep learning framework with hybrid encoding for protein coding regions prediction in biological sequences

Chao Wei, Junying Zhang, Xiguo Yuan, 2020, bioRxiv.

Detection of Pathogenic Microbe Composition Using Next-Generation Sequencing Data

Shuang Wang, Xiguo Yuan, Haiyong Zhao, 2020, Frontiers in Genetics.

Accurate Inference of Tumor Purity and Absolute Copy Numbers From High-Throughput Sequencing Data

Junying Zhang, Zhe Li, Xiguo Yuan, 2020, Frontiers in Genetics.

Design of a Four-Layer Model Based on Danger Theory and AIS for IDS

Haidong Fu, Xiguo Yuan, Liping Hu, 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

Author Correction: Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations

Junying Zhang, Shouheng Tuo, Xiguo Yuan, 2018, Scientific Reports.

NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers

Feng Li, Jin-Xing Liu, Junliang Shang, 2019, IEEE Access.

Improving the prediction accuracy of protein structural class: approached with alternating word frequency and normalized Lempel-Ziv complexity.

Shengli Zhang, Yunyun Liang, Xiguo Yuan, 2014, Journal of theoretical biology.

Accurate identification of significant aberrations in contaminated cancer genome

Subha Madhavan, Robert Clarke, Zhen Zhang, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search Algorithm

Junying Zhang, Shouheng Tuo, Xiguo Yuan, 2016, PloS one.

Random Subspace Aggregation for Cancer Prediction with Gene Expression Profiles

Liying Yang, Junying Zhang, Zhimin Liu, 2016, BioMed research international.

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

Xuelong Li, Qinghua Huang, Ao Li, 2019, Bioinform..

dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data

Junying Zhang, Yaoyao Li, Xiguo Yuan, 2020, IEEE Access.

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

Xiaohan Sun, Aimin Li, Junying Zhang, 2013, Digit. Signal Process..

Detection of Significant Copy Number Variations From Multiple Samples in Next-Generation Sequencing Data

Liying Yang, Junying Zhang, Jun Bai, 2018, IEEE Transactions on NanoBioscience.

DINTD: Detection and Inference of Tandem Duplications From Short Sequencing Reads

Xiguo Yuan, Shaoqiang Wang, Jinxin Dong, 2020, Frontiers in Genetics.

RKDOSCNV: A Local Kernel Density-Based Approach to the Detection of Copy Number Variations by Using Next-Generation Sequencing Data

Chao Wei, Junying Zhang, Xiguo Yuan, 2020, Frontiers in Genetics.

MFCNV: A New Method to Detect Copy Number Variations From Next-Generation Sequencing Data

Xiguo Yuan, Guojun Liu, Haiyong Zhao, 2020, Frontiers in Genetics.

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

Qi Xie, Kui Zhang, Xiaolong Zhang, 2007, The 2nd IEEE Asia-Pacific Service Computing Conference (APSCC 2007).

Multi-agents Artificial Immune System (MAAIS) Inspired by Danger Theory for Anomaly Detection

Na Wang, Haidong Fu, Xiguo Yuan, 2007, 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007).

Applying the Danger Model to Design an Intrusion Detection System

Na Wang, Kui Zhang, Ting Xia, 2008 .

Comparative Analysis of Methods for Identifying Recurrent Copy Number Alterations in Cancer

Junying Zhang, Guoqiang Yu, Xiguo Yuan, 2012, PloS one.

Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations

Junying Zhang, Shouheng Tuo, Xiguo Yuan, 2017, Scientific Reports.

Novel method of mining classification information for SVM training

Junying Zhang, Xiguo Yuan, Fengshan Shen, 2011, Wuhan University Journal of Natural Sciences.

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

Qi Xie, Kui Zhang, Xiaolong Zhang, 2007 .

AISAIC: a software suite for accurate identification of significant aberrations in cancers

Subha Madhavan, Robert Clarke, Zhen Zhang, 2014, Bioinform..

IntSIM: An Integrated Simulator of Next-Generation Sequencing Data

Liying Yang, Junying Zhang, Xiguo Yuan, 2017, IEEE Transactions on Biomedical Engineering.

Detection of False-Positive Deletions from the Database of Genomic Variants

Junbo Duan, Mingxi Wan, Yu-Ping Wang, 2019, BioMed research international.

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

Junying Zhang, Yajun Liu, Yaoyao Li, 2017, Cluster Computing.

Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM

Feng Ye, Shengli Zhang, Xiguo Yuan, 2012, Journal of biomolecular structure & dynamics.

BagGMM: Calling copy number variation by bagging multiple Gaussian mixture models from tumor and matched normal next-generation sequencing data

Junying Zhang, Yaoyao Li, Xiguo Yuan, 2019, Digit. Signal Process..

Gene Selection for Cancer Classification Using Sparse Representation Coefficient and MRMR Criterion

Junying Zhang, Junliang Shang, Xiguo Yuan, 2012 .

ERINS: Novel Sequence Insertion Detection by Constructing an Extended Reference.

Junbo Duan, Haiyong Zhao, Xiguo Yuan, 2019, IEEE/ACM transactions on computational biology and bioinformatics.

CRSCNV: A Cross-Model-Based Statistical Approach to Detect Copy Number Variations in Sequence Data

Junying Zhang, Junbo Duan, Xiguo Yuan, 2020, IEEE Access.

Detection and inference of interspersed duplicated insertions from paired-end reads

Xiguo Yuan, Ruwu Yang, Guojun Liu, 2021, Digit. Signal Process..

DeepTIS: Improved translation initiation site prediction in genomic sequence via a two-stage deep learning model

Xiguo Yuan, Chao Wei, Junying Zhang, 2021, Digit. Signal Process..

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

Xiguo Yuan, Jianing Xi, Chao Ma, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identification of molecular pathway aberrations in uterine serous carcinoma by genome-wide analyses.

Tian-Li Wang, Jinghui Zhang, Kentaro Nakayama, 2012, Journal of the National Cancer Institute.

SM-RCNV: a statistical method to detect recurrent copy number variations in sequenced samples

Xiguo Yuan, Jun Bai, Junying Zhang, 2019, Genes & Genomics.

Genome-wide identification of significant aberrations in cancer genome

Robert Clarke, Eric P Hoffman, Xiguo Yuan, 2012, BMC Genomics.

TAGCNA: A Method to Identify Significant Consensus Events of Copy Number Alterations in Cancer

Baodi Chen, Xiguo Yuan, Shengli Zhang, 2012, PloS one.

Simulating Linkage Disequilibrium Structures in a Human Population for SNP Association Studies

Xiguo Yuan, Junying Zhang, Junying Zhang, 2011, Biochemical Genetics.

Stratification of Breast Cancer by Integrating Gene Expression Data and Clinical Variables

Xiguo Yuan, Jianing Xi, Zhaowen Liu, 2019, Molecules.

Network based stratification of major cancers by integrating somatic mutation and gene expression data

Shouheng Tuo, Xiguo Yuan, Baobao Liu, 2017, PloS one.

Detecting pan-cancer conserved microRNA modules from microRNA expression profiles across multiple cancers.

Shouheng Tuo, Aimin Li, Xiguo Yuan, 2015, Molecular bioSystems.