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ORCIDZhengdong D. Zhang
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- affiliation: Albert Einstein College of Medicine, Bronx, NY, USA
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2010 – 2019
- 2018
[j9]Jhih-rong Lin, Daniel Jaroslawicz, Ying Cai, Quanwei Zhang, Zhen Wang, Zhengdong D. Zhang:
PGA: post-GWAS analysis for disease gene identification. Bioinform. 34(10): 1786-1788 (2018)- [j8]Zhen Wang, Quanwei Zhang, Wen Zhang, Jhih-rong Lin, Ying Cai, Joydeep Mitra
, Zhengdong D. Zhang:
HEDD: Human Enhancer Disease Database. Nucleic Acids Res. 46(Database-Issue): D113-D120 (2018) - 2016
- [c1]Wen Zhang, Jhin-Rong Lin, Rubén Nogales-Cadenas, Quanwei Zhang, Ying Cai, Zhengdong D. Zhang:
Prioritization of Schizophrenia Risk Genes by a Network-Regularized Logistic Regression Method. IWBBIO 2016: 434-445 - 2013
- [j7]Quanwei Zhang, Zhengdong D. Zhang:
SubNet: a Java application for subnetwork extraction. Bioinform. 29(19): 2509-2511 (2013) - [j6]Christophe Lemetre, Quanwei Zhang, Zhengdong D. Zhang:
SubNet: a Java application for subnetwork extraction. Bioinform. 29(22): 2958 (2013) - 2011
- [j5]Justin Jee, Joel S. Rozowsky, Kevin Y. Yip, Lucas Lochovsky, Robert D. Bjornson, Guoneng Zhong, Zhengdong D. Zhang, Yutao Fu, Jie Wang, Zhiping Weng, Mark Gerstein:
ACT: aggregation and correlation toolbox for analyses of genome tracks. Bioinform. 27(8): 1152-1154 (2011) - 2010
- [j4]Zhengdong D. Zhang, Mark B. Gerstein:
Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model. BMC Bioinform. 11: 539 (2010)
2000 – 2009
- 2009
- [j3]Jiang Du, Robert D. Bjornson, Zhengdong D. Zhang, Yong Kong, Michael Snyder, Mark B. Gerstein:
Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction of Structural Variants. PLoS Comput. Biol. 5(7) (2009) - 2008
- [j2]Zhengdong D. Zhang, Joel S. Rozowsky, Michael Snyder, Joseph T. Chang, Mark Gerstein:
Modeling ChIP Sequencing In Silico with Applications. PLoS Comput. Biol. 4(8) (2008) - 2006
- [j1]Jiang Du, Joel S. Rozowsky, Jan O. Korbel, Zhengdong D. Zhang, Thomas E. Royce, Martin H. Schultz, Michael Snyder, Mark Gerstein:
A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: systematically incorporating validated biological knowledge. Bioinform. 22(24): 3016-3024 (2006)
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