wangyi_@fudan.edu.cn

摘要

研究方向: 罕见病和肿瘤的遗传学分析，群体基因组学，生物信息学，生物统计学，医学人工智能。

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1. Sun R#, Wang Y#, Jin M#, Chen L, Cao Y, Chen F. (2018) Identification and Functional Studies of MYO1H for Mandibular Prognathism. J Dent Res. 2018 Jul 1:22034518784936.

2. Wang Y#, Li Y#, Qiao C#, Liu X#, Hao M#, Shugart YY, Xiong M, Jin L. (2018) Nuclear Norm Clustering: a promising alternative method for clustering tasks. Sci Rep. 2018 Jul 18;8(1):10873.

3. Li Z#, Wang Y#, Wang F, (2018) A study on fast calling variants from next-generation sequencing data using decision tree.  BMC Bioinformatics. 2018 Apr 19;19(1):145.

4. Zhou W#, Wang Y#, Fujino M, Shi L, Jin L, Li XK, Wang J.(2018) A standardized fold change method for microarray differential expression analysis used to reveal genes involved in acute rejection in murine allograft models.  FEBS Open Bio. 2018 Jan 25;8(3):481-490.

5. Wang Y, Li Y#, Liu X#, Pu W, Wang X, Wang J, Xiong M, Yao Shugart Y, Jin L.(2017) Bagging Nearest-Neighbor Prediction independence Test: an efficient method for nonlinear dependence of two continuous variables.Sci Rep 2017 Oct 06;7(1).

6. Pan X＃, Wang Y＃, Wong EHM, Telenti A, Venter JC, Jin L.(2017).Fine population structure analysis method for genomes of many.Sci Rep 2017 Oct 03;7(1).

7. Li L#, Wang Y#, Yang S, Xia M, Yang Y, Wang J, Lu D, Pan X, Ma T, Jiang P, Yu G, Zhao Z, Ping Y, Zhou H, Zhao X, Sun H, Liu B, Jia D, Li C, Hu R, Lu H, Liu X, Chen W, Mi Q, Xue F, Su Y, Jin L, Li S.(2017). Genome-wide screening for highly discriminative SNPs for personal identification and their assessment in world populations. Forensic Sci Int Genet. 2017 May;28:118-127.

8. Chen Y#, Zhao L#, Wang Y#, Cao M, Gelowani V, Xu M, Agrawal SA, Li Y, Daiger SP, Gibbs R, Wang F, Chen R(2017). SeqCNV: a novel method for identification of copy number variations in targeted next-generation sequencing data. BMC Bioinformatics. 2017 Mar 3;18(1):147.

9. Liu S#, Wang Y#, Wang F(2016). A fast read alignment method based on seed-and-vote for next generation sequencing. BMC Bioinformatics. 2016 Dec 23;17(Suppl 17):466.

10. Wang Y#, Li Y#, Pu W, Wen K, Shugart YY, Xiong M, Jin L (2016). Random Bits Forest: a Strong Classifier/Regressor for Big Data. Sci Rep. 2016 Jul 22;6:30086.

11. Yi Wang#, Yi Li#, Momiao Xiong, Yin Yao Shugart, Li Jin (2016), Random Bits Regression: a Strong General Predictor for Big Data. Big Data Analytics20161:12

12. Wang, Y#., Y. Li#, H. Cao, M. Xiong, Y. Y. Shugart and L. Jin (2015). "Efficient test for nonlinear dependence of two continuous variables." BMC Bioinformatics 16(1): 260.

13. Wang Y#, Lu J#, Yu J, Gibbs RA, Yu F (2013) An integrative variant analysis pipeline for accurate genotype/haplotype inference in population NGS data. Genome Res 23:833-842.

14. Abecasis, G. R., A. Auton, L. D. Brooks, M. A. DePristo, R. M. Durbin, R. E. Handsaker, H. M. Kang, G. T. Marth and G. A. McVean (2012). "An integrated map of genetic variation from 1,092 human genomes." Nature 491(7422): 56-65. （5.2 Low coverage SNP calling: Baylor College of Medicine HGSC, section一作）

15. Ling ZQ#, Wang Y#, Mukaisho K, Hattori T, Tatsuta T, Ge MH, Jin L, Mao WM, Sugihara H (2010) Novel statistical framework to identify differentially expressed genes allowing transcriptomic background differences. Bioinformatics 26:1431-1436