刘永壮 - 哈尔滨工业大学

个人简介

工作经历 2021.01至今副教授，博士生导师哈尔滨工业大学计算学部 2017.03-2020.12 师资博士后（讲师）哈尔滨工业大学计算机科学与技术学院教育经历 2010.09-2016.07 计算机应用技术哈尔滨工业大学博士 2011.09-2013.09 生物信息学杜克大学访问学者 2008.09-2010.07 计算机科学与技术哈尔滨工业大学硕士 2004.09-2008.07 计算机科学与技术哈尔滨工业大学本科

研究领域

组学数据分析模型与算法健康医疗大数据生物信息学人工智能

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Y. Liu, X. Wu, Y. Wang, "An integrated approach for copy number variation discovery in parent–offspring trios", Brief Bioinform, Jun 19 2021. Y. Liu, Y. Huang, G. Wang, and Y. Wang, "A deep learning approach for filtering structural variants in short read sequencing data," Brief Bioinform, Dec 30 2020. Y. Liu, J. Liu, and Y. Wang, "Joint detection of germline and somatic copy number events in matched tumor-normal sample pairs," Bioinformatics, vol. 35, pp. 4955-4961, Dec 1 2019. Y. Liu, J. Liu, J. Lu, J. Peng, L. Juan, X. Zhu, et al., "Joint detection of copy number variations in parent-offspring trios," Bioinformatics, vol. 32, pp. 1130-7, Apr 15 2016. Y. Liu, B. Li, R. Tan, X. Zhu, and Y. Wang, "A gradient-boosting approach for filtering de novo mutations in parent-offspring trios," Bioinformatics, vol. 30, pp. 1830-6, Jul 1 2014. Y. Liu, J. Liu, and Y. Wang, "Filtering de novo indels in parent-offspring trios," BMC Bioinformatics, vol. 21, p. 547, 2020/12/16 2020. Y. Liu, J. Liu, and Y. Wang, "DNMFilter_Indel: Filtering de novo Indels in Parent-Offspring Trios," in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019, pp. 1758-1761. T. Jiang, Y. Liu, Y. Jiang, J. Li, Y. Gao, Z. Cui, et al., "Long-read-based human genomic structural variation detection with cuteSV," Genome Biol, vol. 21, p. 189, Aug 3 2020. Y. Gao, Y. Liu, Y. Ma, B. Liu, Y. Wang, and Y. Xing, "abPOA: an SIMD-based C library for fast partial order alignment using adaptive band," Bioinformatics, Nov 9 2020. L. Juan, Y. Liu, Y. Wang, M. Teng, T. Zang, and Y. Wang, "Family genome browser: visualizing genomes with pedigree information," Bioinformatics, vol. 31, pp. 2262-8, Jul 15 2015. J. Liu, Q. Liu, L. Zhang, S. Su, and Y. Liu, "Enabling Massive XML-Based Biological Data Management in HBase," IEEE/ACM Trans Comput Biol Bioinform, vol. 17, pp. 1994-2004, Nov-Dec 2020. T. Wang, Q. Peng, B. Liu, Y. Liu, and Y. Wang, "Disease Module Identification Based on Representation Learning of Complex Networks Integrated From GWAS, eQTL Summaries, and Human Interactome," Front Bioeng Biotechnol, vol. 8, p. 418, 2020. T. Wang, Q. Peng, B. Liu, X. Liu, Y. Liu, J. Peng, et al., "eQTLMAPT: Fast and Accurate eQTL Mediation Analysis With Efficient Permutation Testing Approaches," Front Genet, vol. 10, p. 1309, 2019. Z. Wang, Y. Liu, and Y. Wang, "MGMIN: A Normalization Method for Correcting Probe Design Bias in Illumina Infinium HumanMethylation450 BeadChips," Front Genet, vol. 11, p. 538492, 2020. Q. Wei, X. Zhan, X. Zhong, Y. Liu, Y. Han, W. Chen, et al., "A Bayesian framework for de novo mutation calling in parents-offspring trios," Bioinformatics, vol. 31, pp. 1375-81, May 1 2015. R. Tan, Y. Wang, S. E. Kleinstein, Y. Liu, X. Zhu, H. Guo, et al., "An evaluation of copy number variation detection tools from whole-exome sequencing data," Hum Mutat, vol. 35, pp. 899-907, Jul 2014. J. Peng, H. Li, Y. Liu, L. Juan, Q. Jiang, Y. Wang, et al., "InteGO2: a web tool for measuring and visualizing gene semantic similarities using Gene Ontology," BMC Genomics, vol. 17 Suppl 5, p. 530, Aug 31 2016. L. Cheng, J. Li, Y. Hu, Y. Jiang, Y. Liu, Y. Chu, et al., "Using Semantic Association to Extend and Infer Literature-Oriented Relativity Between Terms," IEEE/ACM Trans Comput Biol Bioinform, vol. 12, pp. 1219-26, Nov-Dec 2015. L. Juan, M. Teng, T. Zang, Y. Hao, Z. Wang, C. Yan, et al., "The personal genome browser: visualizing functions of genetic variants," Nucleic Acids Res, vol. 42, pp. W192-7, Jul 2014.