
Hong-Wen Deng
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2020 – today
- 2020
- [j32]Fangtang Yu, Chao Xu, Hong-Wen Deng, Hui Shen:
A novel computational strategy for DNA methylation imputation using mixture regression model (MRM). BMC Bioinform. 21(1): 552 (2020) - [i2]Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng:
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets. CoRR abs/2004.14031 (2020) - [i1]Chen Zhao, Joyce H. Keyak, Jinshan Tang, Tadashi S. Kaneko, Sundeep Khosla, Shreyasee Amin, Elizabeth J. Atkinson, Lan-Juan Zhao, Michael J. Serou, Chaoyang Zhang, Hui Shen, Hong-Wen Deng, Weihua Zhou:
A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images. CoRR abs/2006.05513 (2020)
2010 – 2019
- 2019
- [j31]Yan Zhao, Yujie Ning, Feng Zhang, Miao Ding, Yan Wen, Liang Shi, Kunpeng Wang, Mengnan Lu, Jingyan Sun, Menglu Wu, Bolun Cheng, Mei Ma, Lu Zhang, Shiqiang Cheng, Hui Shen, Qing Tian, Xiong Guo, Hong-Wen Deng:
PCA-based GRS analysis enhances the effectiveness for genetic correlation detection. Briefings Bioinform. 20(6): 2291-2298 (2019) - [j30]Md. Ashad Alam
, Osamu Komori, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics. J. Bioinform. Comput. Biol. 17(4): 1950028 (2019) - 2018
- [j29]Chao Xu
, Jian Fang, Hui Shen, Yu-Ping Wang, Hong-Wen Deng:
EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits. Bioinform. 34(12): 1996-2003 (2018) - [j28]Alexej Gossmann
, Shaolong Cao
, Damian Brzyski
, Lan-Juan Zhao, Hong-Wen Deng, Yu-Ping Wang
:
A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1066-1078 (2018) - [j27]Jian Fang
, Ji-Gang Zhang, Hong-Wen Deng, Yu-Ping Wang
:
Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers. IEEE J. Biomed. Health Informatics 22(6): 1960-1969 (2018) - [j26]Jian Fang
, Chao Xu
, Pascal Zille
, Dongdong Lin, Hong-Wen Deng, Vince D. Calhoun
, Yu-Ping Wang
:
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation. IEEE Trans. Medical Imaging 37(4): 860-870 (2018) - 2017
- [j25]Wenyu Wang, Jingcan Hao, Shuyu Zheng
, Qianrui Fan, Awen He, Yan Wen, Xiong Guo, Cuiyan Wu, Sen Wang, Tielin Yang, Hui Shen, Xiangding Chen, Qing Tian, Lijun Tan, Hong-Wen Deng
, Feng Zhang
:
Tissue-specific pathway association analysis using genome-wide association study summaries. Bioinform. 33(2): 243-247 (2017) - [j24]Hao He, Dongdong Lin, Ji-Gang Zhang, Yu-Ping Wang, Hong-Wen Deng:
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network. BMC Bioinform. 18(1): 149:1-149:6 (2017) - 2016
- [j23]Shaolong Cao, Huaizhen Qin, Alexej Gossmann
, Hong-Wen Deng
, Yu-Ping Wang:
Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations. Bioinform. 32(3): 330-337 (2016) - [j22]Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Chao Xu
, Hong-Wen Deng
, Yu-Ping Wang:
An integrative imputation method based on multi-omics datasets. BMC Bioinform. 17: 247 (2016) - [j21]Junbo Duan, Mingxi Wan, Hong-Wen Deng
, Yu-Ping Wang:
A Sparse Model Based Detection of Copy Number Variations From Exome Sequencing Data. IEEE Trans. Biomed. Eng. 63(3): 496-505 (2016) - 2015
- [j20]Yan Wen, Jingcan Hao, Xiong Guo, Xiao Xiao, Cuiyan Wu, Sen Wang, Tielin Yang, Hui Shen, Xiangding Chen, Lijun Tan, Qing Tian, Hong-Wen Deng
, Feng Zhang
:
SWGDT: A sliding window-based genotype dependence testing tool for genome-wide susceptibility gene scan. J. Biomed. Informatics 57: 38-41 (2015) - [j19]Wenlong Tang, Chao Xu
, Yu-Ping Wang, Hong-Wen Deng, Ji-Gang Zhang:
MicroRNA-mRNA interaction analysis to detect potential dysregulation in complex diseases. Netw. Model. Anal. Health Informatics Bioinform. 4(1) (2015) - [c9]Shaolong Cao, Huaizhen Qin, Alexej Gossmann, Hong-Wen Deng, Yu-Ping Wang:
Unified tests for fine scale mapping and identifying sparse high-dimensional sequence associations. BCB 2015: 241-249 - 2014
- [j18]Lei Zhang
, Yu-Fang Pei, Xiaoying Fu, Yong Lin, Yu-Ping Wang, Hong-Wen Deng
:
FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model. Bioinform. 30(13): 1876-1883 (2014) - [j17]Lei Zhang, Yu-Fang Pei, Xiaoying Fu, Yong Lin, Yu-Ping Wang, Hong-Wen Deng:
FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model. Bioinform. 30(21): 3142 (2014) - [j16]Tao Yang, Hong-Wen Deng
, Tianhua Niu:
Critical assessment of coalescent simulators in modeling recombination hotspots in genomic sequences. BMC Bioinform. 15: 3 (2014) - [j15]Junbo Duan, Ji-Gang Zhang, Mingxi Wan, Hong-Wen Deng
, Yu-Ping Wang:
Population clustering based on copy number variations detected from next generation sequencing data. J. Bioinform. Comput. Biol. 12(4) (2014) - [j14]Junbo Duan, Hong-Wen Deng
, Yu-Ping Wang:
Common Copy Number Variation Detection From Multiple Sequenced Samples. IEEE Trans. Biomed. Eng. 61(3): 928-937 (2014) - [c8]Shaolong Cao, Huaizhen Qin, Jian Li, Hong-Wen Deng, Yu-Ping Wang:
Scaled sparse high-dimensional tests for localizing sequence variants. BCB 2014: 79-87 - 2013
- [j13]Junbo Duan, Ji-Gang Zhang, Hong-Wen Deng
, Yu-Ping Wang:
CNV-TV: A robust method to discover copy number variation from short sequencing reads. BMC Bioinform. 14: 150 (2013) - [j12]Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Hong-Wen Deng
, Yu-Ping Wang:
Group sparse canonical correlation analysis for genomic data integration. BMC Bioinform. 14: 245 (2013) - [c7]Shaolong Cao, Huaizhen Qin, Hong-Wen Deng, Yu-Ping Wang:
A generalized sparse regression model with adjustment of pedigree structure for variant detection from next generation sequencing data. BCB 2013: 191 - [c6]Junbo Duan, Mingxi Wan, Hong-Wen Deng, Yu-Ping Wang:
Modeling exome sequencing data with generalized Gaussian distribution with application to copy number variation detection. BIBM 2013: 1-7 - [c5]Dongdong Lin, Hao He, Jingyao Li, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
Network-based investigation of genetic modules associated with functional brain networks in schizophrenia. BIBM 2013: 9-16 - 2012
- [c4]Junbo Duan, Ji-Gang Zhang, Hongbao Cao, Hong-Wen Deng, Yu-Ping Wang:
Copy number variation estimation from multiple next-generation sequencing samples. BCB 2012: 555-557 - [c3]Junbo Duan, Ji-Gang Zhang, Hong-Wen Deng
, Yu-Ping Wang:
Detection of common copy number variation with application to population clustering from next generation sequencing data. EMBC 2012: 1246-1249 - [c2]Hongbao Cao, Shufeng Lei, Hong-Wen Deng
, Yu-Ping Wang:
Identification of genes for complex diseases by integrating multiple types of genomic data. EMBC 2012: 5541-5544 - 2011
- [j11]Yong Lin, Jian Li, Hui Shen, Lei Zhang
, Christopher J. Papasian, Hong-Wen Deng
:
Comparative studies of de novo assembly tools for next-generation sequencing technologies. Bioinform. 27(15): 2031-2037 (2011) - [j10]Jinhua Sheng, Hong-Wen Deng
, Vince D. Calhoun, Yu-Ping Wang:
Integrated Analysis of Gene Expression and Copy Number Data on Gene Shaving Using Independent Component Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1568-1579 (2011) - [c1]Junbo Duan, Ji-Gang Zhang, John Lefante, Hong-Wen Deng, Yu-Ping Wang:
Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization. BIBM Workshops 2011: 3-12 - 2010
- [j9]Jie Chen
, Ayten Yigiter, Yu-Ping Wang, Hong-Wen Deng
:
A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process. EURASIP J. Bioinform. Syst. Biol. 2010 (2010)
2000 – 2009
- 2009
- [j8]Runqing Yang, Xin Wang, Jian Li, Hong-Wen Deng
:
Bayesian robust analysis for genetic architecture of quantitative traits. Bioinform. 25(8): 1033-1039 (2009) - [j7]Yan-Fang Guo, Jian Li, Yuan Chen, Li-Shu Zhang, Hong-Wen Deng
:
A new permutation strategy of pathway-based approach for genome-wide association study. BMC Bioinform. 10: 429 (2009) - 2008
- [j6]Feng Zhang, Jianfeng Liu
, Jie Chen
, Hong-Wen Deng
:
HAPSIMU: a genetic simulation platform for population-based association studies. BMC Bioinform. 9 (2008) - 2007
- [j5]Ji-Gang Zhang, Hong-Wen Deng
:
Gene selection for classification of microarray data based on the Bayes error. BMC Bioinform. 8 (2007) - 2006
- [j4]Jin-Long Li, Miao-Xin Li, Yan-Fang Guo, H.-Y. Deng, Hong-Wen Deng
:
JADE: a distributed Java application for deleterious genomic mutation (DGM) estimation. Bioinform. 22(15): 1926-1927 (2006) - 2005
- [j3]Lan-Juan Zhao, Miao-Xin Li, Yan-Fang Guo, Fu-Hua Xu
, Jin-Long Li, Hong-Wen Deng
:
SNPP: automating large-scale SNP genotype data management. Bioinform. 21(2): 266-268 (2005) - [j2]Yan Lu, Peng-Yuan Liu, Peng Xiao, Hong-Wen Deng
:
Hotelling's T2 multivariate profiling for detecting differential expression in microarrays. Bioinform. 21(14): 3105-3113 (2005) - [j1]Jin-Long Li, Miao-Xin Li, H.-Y. Deng, P. E. Duffy, Hong-Wen Deng
:
PhD: a web database application for phenotype data management. Bioinform. 21(16): 3443-3444 (2005)
Coauthor Index

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