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Zhenqiu Liu
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2020 – today
- 2021
- [c9]Bin Lin, Fei Xu, Shipeng Xu, Nan Wu, Zhenqiu Liu:
LRPBFT-Algorithm-Based Consortium Blockchain Traceability Scheme of Dangerous Goods in Commercial Ports. WCSP 2021: 1-6
2010 – 2019
- 2019
- [j24]Zhenqiu Liu, David Elashoff, Steven T. Piantadosi:
Sparse support vector machines with L0 approximation for ultra-high dimensional omics data. Artif. Intell. Medicine 96: 134-141 (2019) - 2018
- [j23]Linlin Dai, Kani Chen, Zhihua Sun, Zhenqiu Liu, Gang Li
:
Broken adaptive ridge regression and its asymptotic properties. J. Multivar. Anal. 168: 334-351 (2018) - 2017
- [j22]Zhenqiu Liu
, Fengzhu Sun, Dermot P. B. McGovern:
Sparse generalized linear model with L 0 approximation for feature selection and prediction with big omics data. BioData Min. 10(1): 39:1-39:12 (2017) - 2016
- [j21]Zhenqiu Liu
, Gang Li
:
Efficient Regularized Regression with L0 Penalty for Variable Selection and Network Construction. Comput. Math. Methods Medicine 2016: 3456153:1-3456153:11 (2016) - [j20]Xiaoling Peng
, Gang Li, Zhenqiu Liu:
Zero-Inflated Beta Regression for Differential Abundance Analysis with Metagenomics Data. J. Comput. Biol. 23(2): 102-110 (2016) - [j19]Zhenqiu Liu, Shili Lin, Nan Deng, Dermot P. B. McGovern, Steven T. Piantadosi:
Sparse Inverse Covariance Estimation with L0 Penalty for Network Construction with Omics Data. J. Comput. Biol. 23(3): 192-202 (2016) - [j18]Wenchuan Guo, Zhenqiu Liu, Shujie Ma:
Nonparametric Regularized Regression for Phenotype-Associated Taxa Selection and Network Construction with Metagenomic Count Data. J. Comput. Biol. 23(11): 877-890 (2016) - 2015
- [j17]Zhenqiu Liu, Shili Lin, Steven T. Piantadosi:
Network construction and structure detection with metagenomic count data. BioData Min. 8: 40 (2015) - [j16]Zhenqiu Liu, Fengzhu Sun, Jonathan Braun, Dermot P. B. McGovern, Steven T. Piantadosi:
Multilevel regularized regression for simultaneous taxa selection and network construction with metagenomic count data. Bioinform. 31(7): 1067-1074 (2015) - [j15]Wenhui Wang
, Xianghong Jasmine Zhou, Zhenqiu Liu, Fengzhu Sun:
Network tuned multiple rank aggregation and applications to gene ranking. BMC Bioinform. 16(S-1): S6 (2015) - 2014
- [i1]Zhenqiu Liu, Gang Li:
Efficient Regularized Regression for Variable Selection with L0 Penalty. CoRR abs/1407.7508 (2014) - 2011
- [j14]Zhenqiu Liu, William Hsiao, Brandi L. Cantarel, Elliott Franco Drábek, Claire Fraser-Liggett
:
Sparse distance-based learning for simultaneous multiclass classification and feature selection of metagenomic data. Bioinform. 27(23): 3242-3249 (2011) - 2010
- [j13]Zhenqiu Liu, Laurence S. Magder, Terry Hyslop, Li Mao:
Survival associated pathway identification with group Lp penalized global AUC maximization. Algorithms Mol. Biol. 5: 30 (2010) - [j12]Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, Ronald B. Gartenhaus:
Kernel based methods for accelerated failure time model with ultra-high dimensional data. BMC Bioinform. 11: 606 (2010) - [j11]Zhenqiu Liu, Shili Lin, Ming Tan:
Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 7(1): 100-107 (2010) - [c8]Zhenqiu Liu, Terry Hyslop:
Partial AUC for Differentiated Gene Detection. BIBE 2010: 310-311
2000 – 2009
- 2009
- [j10]Zhenqiu Liu, Feng Jiang:
Gene identification and survival prediction with Lp Cox regression and novel similarity measure. Int. J. Data Min. Bioinform. 3(4): 398-408 (2009) - [j9]Zhenqiu Liu, Ronald B. Gartenhaus, Xue-wen Chen, Charles D. Howell, Ming Tan:
Survival Prediction and Gene Identification with Penalized Global AUC Maximization. J. Comput. Biol. 16(12): 1661-1670 (2009) - 2008
- [j8]Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng Jiang, Xiaoli Jiao:
Gene and pathway identification with Lp penalized Bayesian logistic regression. BMC Bioinform. 9 (2008) - [j7]Zhenqiu Liu, Dechang Chen, Jianjun Paul Tian:
Classification of proteomic data with multiclass Logistic Partial Least Squares algorithm. Int. J. Bioinform. Res. Appl. 4(1): 1-10 (2008) - [c7]Zhenqiu Liu:
Detecting Disease Associated Genes and Gene-Gene Interactions with Penalized AUC Maximization. ICMLA 2008: 599-603 - 2007
- [j6]Xue-wen Chen, Byron Gerlach, Dechang Chen, Zhenqiu Liu:
Structural Risk Minimisation based gene expression profiling analysis. Int. J. Bioinform. Res. Appl. 3(2): 153-169 (2007) - [c6]Fasheng Hu, Zhenqiu Liu, Chunxin Jia, Dechang Chen:
Conditional Density Estimation with HMM Based Support Vector Machines. ICIC (2) 2007: 1245-1254 - [c5]Zhenqiu Liu:
Cox's Proportional Hazards Model with Lp Penalty for Biomarker Identification and Survival Prediction. ICMLA 2007: 624-628 - 2006
- [j5]Chenggang Yu, Zhenqiu Liu, Thomas M. McKenna, Andrew T. Reisner, Jaques Reifman:
Application of Information Technology: A Method for Automatic Identification of Reliable Heart Rates Calculated from ECG and PPG Waveforms. J. Am. Medical Informatics Assoc. 13(3): 309-320 (2006) - [j4]Zhenqiu Liu, Shili Lin, Ming Tan:
Genome-Wide Tagging SNPs with Entropy-Based Monte Carlo Method. J. Comput. Biol. 13(9): 1606-1614 (2006) - 2005
- [j3]Zhenqiu Liu, Dechang Chen, Ying Xu, Jian Liu:
Logistic support vector machines and their application to gene expression data. Int. J. Bioinform. Res. Appl. 1(2): 169-182 (2005) - [j2]Zhenqiu Liu, Dechang Chen, Halima Bensmail, Ying Xu:
Clustering Gene Expression Data with Kernel Principal Components. J. Bioinform. Comput. Biol. 3(2): 303-316 (2005) - [c4]Zhenqiu Liu, Dechang Chen, Jianjun Paul Tian:
Classification of Proteomic Data with Logistic Kernel Partial Least Squares Algorithm. CVPR Workshops 2005: 145 - [c3]Zhenqiu Liu, Dechang Chen:
Classification of Chromosome Sequences with Entropy Kernel and LKPLS Algorithm. ICIC (1) 2005: 543-551 - 2004
- [c2]Zhenqiu Liu, Dechang Chen:
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm. FLAIRS 2004: 104-108 - [c1]Dechang Chen, D. D. Hua, Zhenqiu Liu, Zhi-Fu Cheng:
An integrated system for class prediction using gene expression profiling. ICARCV 2004: 1023-1028 - 2003
- [j1]Zhenqiu Liu, Hamparsum Bozdogan:
RBF neural networks for classification using new kernel functions. Neural Parallel Sci. Comput. 11(1 & 2): 41-52 (2003)
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