邓明华

Email

dengmh(at)pku.edu.cn

              Picture        

联系电话

010-62767562

所在单位

北京大学数学科学学院

职称职务

教授

研究方向

生物信息学,系统生物学

研究兴趣

蛋白质相互作用预测,基因功能预测,转录因子结合位点研究,基因芯片数据预处理,基因网络分析与建模。

教育经历

1991年北京大学数学系理学学士

1994年北京大学数学系理学硕士

1998年北京大学数学科学学院理学博士

工作经历

1998-2003年,北京大学数学科学学院讲师

2003-2009, 北京大学数学科学学院副教授

2009-至今, 北京大学数学科学学院教授

2001-2003年,美国南加州大学(USC)博士后

20098-20101月,美国耶鲁大学医学院访问副教授

代表论文

  1. Lin Wang, Wei Zheng, Hongyu zhao and Minghua Deng. Statistical Analysis Reveals Co-Expression Patterns of Many Pairs of Genes in Yeast Are Jointly Regulated by Interacting Loci. PLoS Genetics, 9(3): e1003414, 2013.
  2. Fugui Wang, Rui Chen, Dong Ji, Shunong Bai, Minping Qian and Minghua Deng. Adjustment method for microarray data generated using two-cycle RNA labeling protocol. BMC Genomics, 14:31, 2013.
  3. Quan Wang, Peichao Peng, Minping Qian, Lin Wan and Minghua Deng. Hybridization and amplification rate correction for affymetrix SNP arrays. BMC Medical Genomics, 5:24, doi:10.1186/1755-8794-5-24, 2012.
  4. Lin Wang, Lin Hou, Minping Qian, Minghua Deng. Integrating phosphorylation network with transcriptional network reveals novel functional relationships PLoS ONE,7(3):e33160, 2012.
  5. Lin Hou, Lin Wang, Minping Qian, Dong Li, Chao Tang, Yunping Zhu, Minghua Deng and Fangting Li. Modular analysis of the probabilistic genetic interaction network. Bioinformatics, 27(6):853-859, 2011.
  6. NaiFang Su, Yufu Wang, Minping Qian, Minghua Deng. Combinatorial regulation of transcription factors and microRNAs. BMC System Biology, 4:150, 2010.
  7. Hao Zheng, Xingyi Hang, Ji Zhu, Minping Qian, Wubin Qu, Chenggang Zhang, Minghua Deng. REMAS: a new regression model to identify alternative splicing events from exon array data. BMC Bioinformatics 10 (Suppl 1):S18, 2009. APBC2009 Best Paper Award.
  8. Deng, M., Tu, Z., Chen, T. and Sun, F. Mapping Gene Ontology to proteins based on protein-protein interaction data, Bioinformatics, 20: 895-902, 2004.
  9. Deng, M., Zhang, K., Mehta, S., Chen, T. and Sun F. Prediction of protein function using protein-protein interaction data. Journal of Computational Biology 10: 947-960, 2003.
  10. Deng, M., Mehta, S., Sun, F. and Chen, T. Inferring domain-domain interactions from protein-protein interactions. Genome Research 12: 1540-1548, 2002.

论文链接

http://www.researcherid.com/rid/B-5430-2012

程序链接

GIExp: a program to estimate isoform expression data from RNA-seq data using hierarchical Bayesian model;

NetworkBiomarker: a covariance test method for detecting network biomarker for yeast;

CCLasso: a program to infer the correlation structure for Metagenomic data;

PDEGEMa program to correct the non-uniform bias for RNA-seq data;

CNVhac: a program to detect CNV region from Affymetrix SNP data;

HSL: a program to predict kinase functional site.

Corner

Corner