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Xiguo Yuan
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2020 – today
- 2023
- [j27]Jingfen Lan
, Wenxiang Chen
LDSSNV: A Linkage Disequilibrium-Based Method for the Detection of Somatic Single-Nucleotide Variants. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3020-3032 (2023) - 2022
- [j26]Kun Xie, Kang Liu
IhybCNV: An intra-hybrid approach for CNV detection from next-generation sequencing data. Digit. Signal Process. 121: 103304 (2022) - [j25]Chao Wei, Junying Zhang, Xiguo Yuan:
Enhancing the prediction of protein coding regions in biological sequence via a deep learning framework with hybrid encoding. Digit. Signal Process. 123: 103430 (2022) - [j24]Haque A. K. Alvi
Detection of copy number variations from NGS data by using an adaptive kernel density estimation-based outlier factor. Digit. Signal Process. 126: 103524 (2022) - [c3]Liying Yang, Qingyang Zhang, Si Chao, Dunhui Liu, Xiguo Yuan:
Greedy-mRMR: An emotion recognition algorithm based on EEG using greedy algorithm. BIBM 2022: 1329-1336 - 2021
- [j23]Xiguo Yuan, Wenlu Xie, Hongzhi Yang, Jun Bai, Ruwu Yang, Guojun Liu, Haque A. K. Alvi
Detection and inference of interspersed duplicated insertions from paired-end reads. Digit. Signal Process. 111: 102959 (2021) - [j22]Chao Wei, Junying Zhang, Xiguo Yuan:
DeepTIS: Improved translation initiation site prediction in genomic sequence via a two-stage deep learning model. Digit. Signal Process. 117: 103202 (2021) - [j21]Chao Wei, Junying Zhang
NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework. Knowl. Based Syst. 212: 106459 (2021) - [j20]Xiguo Yuan
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 539-549 (2021) - [j19]Xiguo Yuan
A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1811-1820 (2021) - [j18]Xiguo Yuan
ERINS: Novel Sequence Insertion Detection by Constructing an Extended Reference. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1893-1901 (2021) - [j17]Xiguo Yuan
STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2692-2701 (2021) - 2020
- [j16]Guojun Liu
CRSCNV: A Cross-Model-Based Statistical Approach to Detect Copy Number Variations in Sequence Data. IEEE Access 8: 2302-2312 (2020) - [j15]Yaoyao Li
dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data. IEEE Access 8: 27973-27985 (2020) - [j14]Jianing Xi
Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication. Bioinform. 36(6): 1855-1863 (2020) - [j13]Lanling Zhao, Han Liu, Xiguo Yuan, Kun Gao, Junbo Duan
Comparative study of whole exome sequencing-based copy number variation detection tools. BMC Bioinform. 21(1): 97 (2020) - [j12]Xiguo Yuan
SVSR: A Program to Simulate Structural Variations and Generate Sequencing Reads for Multiple Platforms. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1082-1091 (2020) - [j11]Xiguo Yuan
CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1141-1153 (2020)
2010 – 2019
- 2019
- [j10]Qian Ding
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers. IEEE Access 7: 135845-135854 (2019) - [j9]Yajun Liu, Junying Zhang, Aimin Li
Identification of PIWI-interacting RNA modules by weighted correlation network analysis. Clust. Comput. 22(Suppl 1): 707-717 (2019) - [j8]Yaoyao Li, Junying Zhang, Xiguo Yuan:
BagGMM: Calling copy number variation by bagging multiple Gaussian mixture models from tumor and matched normal next-generation sequencing data. Digit. Signal Process. 88: 90-100 (2019) - 2018
- [j7]Shouheng Tuo, Junying Zhang, Xiguo Yuan, Longquan Yong
A new differential evolution algorithm for solving multimodal optimization problems with high dimensionality. Soft Comput. 22(13): 4361-4388 (2018) - 2017
- [j6]Liying Yang, Yunyan Shen, Xiguo Yuan, Junying Zhang, Jianhua Wei:
Analysis of breast cancer subtypes by AP-ISA biclustering. BMC Bioinform. 18(1): 481 (2017) - [j5]Xiguo Yuan
IntSIM: An Integrated Simulator of Next-Generation Sequencing Data. IEEE Trans. Biomed. Eng. 64(2): 441-451 (2017) - 2015
- [j4]Shouheng Tuo
A harmony search algorithm for high-dimensional multimodal optimization problems. Digit. Signal Process. 46: 151-163 (2015) - 2014
- [j3]Bai Zhang, Xuchu Hou, Xiguo Yuan, Ie-Ming Shih, Zhen Zhang, Robert Clarke
AISAIC: a software suite for accurate identification of significant aberrations in cancers. Bioinform. 30(3): 431-433 (2014) - 2013
- [j2]Xiaohan Sun
mirPD: A pattern-based approach for identifying microRNAs from deep sequencing data. Digit. Signal Process. 23(6): 1887-1896 (2013) - 2012
- [j1]Xiguo Yuan, David J. Miller, Junying Zhang, David M. Herrington, Yue Wang:
An Overview of Population Genetic Data Simulation. J. Comput. Biol. 19(1): 42-54 (2012) - [c2]Xuchu Hou, Guoqiang Yu, Xiguo Yuan, Bai Zhang, Ie-Ming Shih, Zhen Zhang, Robert Clarke
Accurate identification of significant aberrations in contaminated cancer genome. GENSiPS 2012: 74-77
2000 – 2009
- 2007
- [c1]Haidong Fu, Xiguo Yuan, Kui Zhang, Xiaolong Zhang, Qi Xie:
Investigating Novel Immune-Inspired Multi-agent Systems for Anomaly Detection. APSCC 2007: 466-472
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