Xiguo Yuan

发表

Integrating Somatic Mutations for Breast Cancer Survival Prediction Using Machine Learning Methods

Junying Zhang, Zongzhe He, Xiguo Yuan, 2021, Frontiers in Genetics.

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

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

Comparative analysis of methods for detecting interacting loci

Jayaram Raghuram, C. Langefeld, D. Herrington, 2011, 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.

Prediction of cancer-associated piRNA–mRNA and piRNA–lncRNA interactions by integrated analysis of expression and sequence data

Junying Zhang, Aimin Li, Zhaowen Liu, 2018 .

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

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

A Density Peak-Based Method to Detect Copy Number Variations From Next-Generation Sequencing Data

Xiguo Yuan, Kun Xie, Ye Tian, 2021, Frontiers in Genetics.

Mutual information and linkage disequilibrium based SNP association study by grouping case-control

Junying Zhang, Xiguo Yuan, Y. Wang, 2011, Genes & Genomics.

Probability Theory-Based SNP Association Study Method for Identifying Susceptibility Loci and Genetic Disease Models in Human Case-Control Data

Junying Zhang, Xiguo Yuan, Y. Wang, 2010, IEEE Transactions on NanoBioscience.

Analysis of breast cancer subtypes by AP-ISA biclustering

Junying Zhang, Xiguo Yuan, Liying Yang, 2017, BMC Bioinformatics.

A new statistical method to detect risk SNPs

Xiguo Yuan, Jie Li, 2017, ICBCI 2017.

WAVECNV: A New Approach for Detecting Copy Number Variation by Wavelet Clustering

Xiguo Yuan, Shuzhen Wang, Yang Guo, 2022, Mathematics.

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

Junying Zhang, Junliang Shang, Xiguo Yuan, 2012 .

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

Xiguo Yuan, Liying Yang, Dunhui Liu, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

HBOS-CNV: A New Approach to Detect Copy Number Variations From Next-Generation Sequencing Data

Xiguo Yuan, Shuzhen Wang, Yang Guo, 2021, Frontiers in Genetics.

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.

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

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

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

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

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

Haque A. K. Alvi, Xiguo Yuan, Kun Xie, 2022, Digit. Signal Process..

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.

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.

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

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

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.

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

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

Random Subspace Aggregation for Cancer Prediction with Gene Expression Profiles

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

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

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

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

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

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.

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.

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..

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

Junying Zhang, Xiguo Yuan, Liying Yang, 2019, Genes & Genomics.

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.

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

Junying Zhang, Xiguo Yuan, Liying Yang, 2017, IEEE transactions on bio-medical engineering.

An Overview of Population Genetic Data Simulation

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

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.

COSINE: A web server for clonal and subclonal structure inference and evolution in cancer genomics.

T. Guo, M. Peifer, Xiguo Yuan, 2021, Zoological research.

svBreak: A New Approach for the Detection of Structural Variant Breakpoints Based on Convolutional Neural Network

J. Li, Xiguo Yuan, Liying Yang, 2022, 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..

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

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

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

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

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

Xiguo Yuan, Shouheng Tuo, Longquan Yong, 2017, Soft Computing.

Genome-wide identification of significant aberrations in cancer genome

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

Analysis of breast cancer subtypes by AP-ISA biclustering

Junying Zhang, Xiguo Yuan, Liying Yang, 2017, BMC Bioinformatics.

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

Zhaowen Liu, Xiguo Yuan, Yuanyuan Zhang, 2017, Cluster Computing.

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

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

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..

A harmony search algorithm for high-dimensional multimodal optimization problems

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

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.

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

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

IntSIM: An Integrated Simulator of Next-Generation Sequencing Data

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

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..

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.

CIRCNV: Detection of CNVs Based on a Circular Profile of Read Depth from Sequencing Data

Haque A. K. Alvi, Xiguo Yuan, Ye Tian, 2021, Biology.

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

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

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

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

Novel method of mining classification information for SVM training

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

A shortest path-based approach for copy number variation detection from next-generation sequencing data

Xiguo Yuan, Guojun Liu, Hongzhi Yang, 2023, Frontiers in Genetics.

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

Haque A. K. Alvi, Xiguo Yuan, Shuzhen Wang, 2021, Digit. Signal Process..

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.

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

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

KNNCNV: A K-Nearest Neighbor Based Method for Detection of Copy Number Variations Using NGS Data

Haque A. K. Alvi, Yuehui Chen, Xiguo Yuan, 2021, Frontiers in Cell and Developmental Biology.

A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data

Xiguo Yuan, Yu Mao, Yu-Peng Cun, 2021, Zoological research.

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

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

Detection of Pathogenic Microbe Composition Using Next-Generation Sequencing Data

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

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

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

LDSSNV: A Linkage Disequilibrium-Based Method for the Detection of Somatic Single-Nucleotide Variants

Haque A. K. Alvi, Xiguo Yuan, Kun Xie, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Enhancing the prediction of protein coding regions in biological sequence via a deep learning framework with hybrid encoding

Xiguo Yuan, Chao Wei, Junying Zhang, 2022, Digit. Signal Process..

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

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