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sihua  

Sihua Peng, PhD,

Associate Professor, Department of Biology,

College of Fisheries and Life Science,

Shanghai Ocean University

Email: shpeng AT shou.edu.cn,

Tel: 86-21-61900491

Eduation:

BS, Southeast University in power engineering (1983);
ME, Northeast Dianli University in power engineering and its automation (1988) ;
PhD, Zhejiang University in control science and engineering (2004). .

Research Experience:

Lecturer, College of Energy Engineering,Zhejiang University (2004 -2008);
Lecturer, Department of Pathology School of Medicine, Zhejiang University (2008-2011);
Visiting Associate Professor, Department of Surgery, Stanford University School of Medicine (2011-2013);
Associate Professor, Department of Biology, Shanghai Ocean University (2013-present).

Research Interests:

Genomics, next-generation sequencing data analyses, genomic big data analyses based on cloud computing, and deep learning applications in genomics.

Research Fundings:

  1. Natural Science Foundation of Shanghai, 15ZR1420800, "Triplophysa adaptive molecular evolution", 2015/01-2017/12, 100,000 RMB, in progress.
  2. National "Eleventh Five-Year" support projects subprojects, 2009BA180B0, "Study early identification and intervention techniques metabolic syndrome", 2009/1-2012/12,0.75/9.1 million RMB, completed.
  3. Zhejiang Provincial Science and Technology Program, 2012R10050-09, “Metabolic syndrome and specimen repository database construction”, 2012.1-2014.12, 200,000 RMB, completed.
  4. Zhejiang Provincial Natural Science Foundation of China, Y2090081, "Construction and screening of obesity-related gene networks of susceptibility genes", 2010/1-2011/12, 60,000 RMB, completed.

Reviewer of Peer-review Journals:

SCI indexed journals:
FEBS Letters,
BMC Bioinformatics,
Bioinformatics,
Neural Regeneration Research,
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
European Journal of Clinical Nutrition,
Plos ONE,
Computational Biology and Chemistry,
Computers in Biology and Medicine,
BMC Pediatrics,
Journal of Zhejiang University-SCIENCE B,
Journal of Theoretical Biology,
Journal of Bioinformatics and Computational Biology,
Neurocomputing,
International Journal of Data Mining and Bioinformatics,
Swarm and Evolutionary Computation,
Chinese Journal of Cancer Research

Other journals:
Hereditas(Bejing),
Journal of Zhejiang University (Engineering Science),
Journal of Fisheries of China,
American Journal of Cancer Science,
International Journal of Bioinformatics Research and Applications.

Editorial Board Member of Peer-review Journals:

EURASIP Journal on Bioinformatics and Systems Biology (Springer),
Informatics in Medicine Unlocked (Elsevier)
Computational Molecular Bioscience (Scientific Research Publishing).

Acdemic Apointments:

Organizing Committee of GCGB 2016

Selected Publications:

  1. Xu QH, Zhang C, Zhang DS, Jiang HP, Peng SH, Liu Y, Zhao K, Wang CC, Chen LB: Analysis of the erythropoietin of a Tibetan Plateau schizothoracine fish (Gymnocypris dobula) reveals enhanced cytoprotection function in hypoxic environments. BMC Evol Biol. 2016, 16. PubMed Link (IF=3.4)

  2. Xu QH, Cai C, Hu XX, Liu Y, Guo YN, Hu P, Chen ZZ, Peng SH, Zhang DS, Jiang SW et al: Evolutionary suppression of erythropoiesis via the modulation of TGF-beta signalling in an Antarctic icefish. Mol Ecol. 2015, 24(18):4664-4678 PubMed Link (IF=6.5)

  3. Sylvester KG, Ling XB, Liu GY-G, Kastenberg ZJ, Ji J, Hu Z, Wu S, Peng SH, Abdullah F, Brandt ML, Ehrenkranz RA, Harris MC, Lee TC, Simpson BJ, Bowers C, Moss RL. Urine protein biomarkers for the diagnosis and prognosis of necrotizing enterocolitis in infants. Journal of Pediatrics. 2014, 164:607 PubMed Link (IF=3.8, Times cited=9)

  4. Sylvester KG, Ling XB, Liu GY, Kastenberg ZJ, Ji J, Hu Z, Peng SH, Lau K, Abdullah F, Brandt ML, Ehrenkranz RA, Harris MC, Lee TC, Simpson J, Bowers C, Moss RL. A novel urine peptide biomarker-based algorithm for the prognosis of necrotising enterocolitis in human infants. Gut. 2014, 63:1284-1292 PubMed link (IF=14.7, Times cited=6)

  5. Peng SH, Zhu Y, Lu B, Xu F, Li X, Lai M. TCF7L2 gene polymorphisms and type 2 diabetes risk: A comprehensive and updated meta-analysis involving 121 174 subjects. Mutagenesis. 2013, 28:25-37 PubMed Link (IF=2.8, Times cited=18)

  6. Ling XB, Kanegaye JT, Ji J, Peng SH, Sato Y, Tremoulet A, Burns JC, Cohen HJ. Point-of-care differentiation of kawasaki disease from other febrile illnesses. Journal of Pediatrics. 2013, 162:183-U219 PubMed Link (IF=3.8, Times cited=3)

  7. Li X, Peng SH. Identification of metastasis-associated genes in colorectal cancer through an integrated genomic and transcriptomic analysis. Chinese Journal of Cancer Research. 2013, 25:623-636 PubMed Link(IF=1.9, Times cited=2)

  8. Ling XB, Macaubas C, Alexander HC, Wen Q, Chen E, Peng SH, Sun Y, Deshpande C, Pan K-H, Lin R, Lih C-J, Chang S-YP, Lee T, Sandborg C, Begovich AB, Cohen SN, Mellins ED. Correlation analyses of clinical and molecular findings identify candidate biological pathways in systemic juvenile idiopathic arthritis. BMC Medicine. 2012, 10 PubMed Link (IF=7.2, Times cited=3)

  9. Li X, Peng SH, Chen J, Lu B, Zhang H, Lai M. Svm-t-rfe: A novel gene selection algorithm for identifying metastasis-related genes in colorectal cancer using gene expression profiles. Biochemical and Biophysical Research Communications. 2012, 419:148-153 PubMed Link (IF=2.3, Times cited=10)

  10. Peng SH, Zhu Y, Xu F, Ren X, Li X, Lai M. FTO gene polymorphisms and obesity risk: A meta-analysis. BMC Medicine. 2011, 9 PubMed Link (IF=7.2, Times cited=51)

  11. Peng SH, Lue B, Ruan W, Zhu Y, Sheng H, Lai M. Genetic polymorphisms and breast cancer risk: Evidence from meta-analyses, pooled analyses, and genome-wide association studies. Breast Cancer Research and Treatment. 2011, 127:309-324 PubMed Link (IF=3.9, Times cited=44)

  12. Ling XB, Lau K, Kanegaye JT, Pan Z, Peng SH, Ji J, Liu G, Sato Y, Yu TTS, Whitin JC, Schilling J, Burns JC, Cohen HJ. A diagnostic algorithm combining clinical and molecular data distinguishes kawasaki disease from other febrile illnesses. BMC Medicine. 2011, 9 PubMed Link (IF=7.2, Times cited=11)

  13. Li X, Chen J, Lue B, Peng SH, Desper R, Lai M. -8p12-23 and +20q are predictors of subtypes and metastatic pathways in colorectal cancer: Construction of tree models using comparative genomic hybridization data. Omics-a Journal of Integrative Biology. 2011, 15:37-47 PubMed Link (IF=2.4, Times cited=7)

  14. Peng X, Zeng X, Peng SH, Deng D, Zhang J. The association risk of male subfertility and testicular cancer: A systematic review. Plos One. 2009, 4 PubMed Link (IF=3.2, Times cited=21)

  15. Peng SH, Zeng X, Li X, Peng X, Chen L. Multi-class cancer classification through gene expression profiles: Microrna versus mrna. Journal of Genetics and Genomics. 2009, 36:409-416 PubMed Link (IF=3.6, Times cited=10)

  16. Peng SH, Liu X, Yu J, Peng X, Chen L. A gene selection software package for cancer classification. IEEE Press, 2009. Link

  17. Dai Z, Chen Z, Ye H, Zhou L, Cao L, Wang Y, Peng SH, Chen L. Characterization of micrornas in cephalochordates reveals a correlation between microrna repertoire homology and morphological similarity in chordate evolution. Evolution & Development. 2009, 11:41-49 PubMed Link (IF=2.7, Times cited=47)

  18. Dong H, Deng Y, Chen J, Wang S, Peng SH, Dai Ce, Fang Y, Shao J, Lou Y, Li D. An exploration of 3 '-end processing signals and their tissue distribution in oryza sativa. Gene. 2007, 389:107-113 PubMed Link (IF=2.1, Times cited=14)

  19. Liu JJ, Cutler G, Li WX, Pan Z, Peng SH, Hoey T, Chen LB, Ling XFB. Multiclass cancer classification and biomarker discovery using ga-based algorithms. Bioinformatics. 2005, 21:2691-2697 PubMed Link (IF=4.9, Times cited=94)

  20. Peng SH, Xu QH, Ling XB, Peng XN, Du W, Chen LB. Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines. Febs Letters. 2003, 555:358-362 PubMed Link (IF=3.2, Times cited=101)

Publications Search

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Updated March 22, 2016

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Courses:

Modern Biostatistics

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