Researcher Profile

Researcher Profile

Xiang Zhang, PhD

Xiang Zhang, PhD

Associate Professor of IST, College of Information Sciences and Technology
Scientific Program:Cancer Control
Disease Teams:
Institute for CyberScience (ICS) - Co-hire
xzz89@psu.edu

Research Interests

  • Genes
  • Quantitative Trait Loci
  • Single Nucleotide Polymorphism
  • Genome
  • Genome-Wide Association Study
  • Genetic Markers
  • Population
  • Genotype
  • Research
  • Human Genome
  • Phenotype
  • Gene Expression

Recent Publications

2019

[C@55671d8c
Xu, D, Cheng, W, Zong, B, Ni, J, Song, D, Yu, W, Chen, Y, Chen, H & Zhang, X 2019, Deep co-clustering. in SIAM International Conference on Data Mining, SDM 2019. SIAM International Conference on Data Mining, SDM 2019, Society for Industrial and Applied Mathematics Publications, pp. 414-422, 19th SIAM International Conference on Data Mining, SDM 2019, Calgary, Canada, 5/2/19.
[C@468f2520

2018

[C@49adfb39
[C@27cd52ca
[C@3ed5b99a
Yan, Y, Luo, D, Ni, J, Fei, H, Fan, W, Yu, X, Yen, J & Zhang, X 2018, Local graph clustering by multi-network random walk with restart. in GI Webb, D Phung, M Ganji, L Rashidi, VS Tseng & B Ho (eds), Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10939 LNAI, Springer Verlag, pp. 490-501, 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, Australia, 6/3/18. https://doi.org/10.1007/978-3-319-93040-4_39
Bian, Y, Yan, Y, Cheng, W, Wang, W, Luo, D & Zhang, X 2018, On Multi-query Local Community Detection. in 2018 IEEE International Conference on Data Mining, ICDM 2018., 8594825, Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2018-November, Institute of Electrical and Electronics Engineers Inc., pp. 9-18, 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, Singapore, 11/17/18. https://doi.org/10.1109/ICDM.2018.00016
[C@6c8c7876
[C@466d65b2

2017

[C@663687aa
[C@64e070a3
[C@355f60a8
[C@1b710149
[C@1b496a7
[C@5ff1bfe9
[C@5b1d1a63
Ni, J, Cheng, W, Fan, W & Zhang, X 2017, Self-grouping multi-network clustering. in F Bonchi, X Wu, R Baeza-Yates, J Domingo-Ferrer & Z-H Zhou (eds), Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016., 7837959, Proceedings - IEEE International Conference on Data Mining, ICDM, Institute of Electrical and Electronics Engineers Inc., pp. 1119-1124, 16th IEEE International Conference on Data Mining, ICDM 2016, Barcelona, Catalonia, Spain, 12/12/16. https://doi.org/10.1109/ICDM.2016.10

2016

[C@3888f720
[C@21be77ad
[C@47228d63
Li, Y, Zhao, Y, Wang, G, Zhu, X, Zhang, X, Wang, Z & Pang, J 2017, 'Finding susceptible and protective interaction patterns in large-scale genetic association study' Frontiers of Computer Science, vol. 11, no. 3, pp. 541-554. https://doi.org/10.1007/s11704-016-5300-5
[C@5bb099e4
[C@24321fb9
[C@1509624a
Cheng, W, Zhang, X & Wang, W 2016, Robust methods for expression quantitative trait loci mapping. in Big Data Analytics in Genomics. Springer International Publishing, pp. 25-88. https://doi.org/10.1007/978-3-319-41279-5_2
[C@54137303
Cheng, W, Shi, Y, Zhang, X & Wang, W 2016, 'Sparse regression models for unraveling group and individual associations in eQTL mapping', BMC Bioinformatics, vol. 17, no. 1, 136. https://doi.org/10.1186/s12859-016-0986-9

2015

[C@32133dc8
Cheng, W, Shi, Y, Zhang, X & Wang, W 2015, 'Fast and robust group-wise eQTL mapping using sparse graphical models' BMC bioinformatics, vol. 16, no. 1, 2. https://doi.org/10.1186/s12859-014-0421-z
[C@7ff3d78d
[C@ba2b653
[C@271350aa

Clinical Trials Search


Children (age < 18 years)
Adults (age >= 18 years)