The People of Tulane Cancer Center Research

Yu-Ping WangYu-Ping Wang, Ph.D.
Associate Professor, Biomedical Engineering
Tulane Cancer Center Program Member

Contact Information
Phone: 504-865-5867
500 Lindy Boggs Bldg., New Orleans, LA 70118

Biographical Information

Yu-Ping Wang is an Associate Professor of Biomedical Engineering at Tulane University and also an adjunct member of Biostatistics. He was an Assistant Professor of Computer Science and Electrical Engineering at the University of Missouri-Kansas City. He got his Bachelor and Master degrees in Applied and Computational Mathematics, and PhD in Communication and Electronic Systems from Tianjin University and Xi’an Jiaotong University respectively. From 1996 to 1998 he was a research fellow at the Center for Wavelets, Approximation and Information Processing at the National University of Singapore (NUS). He then had research training on cardio-vascular image analysis with tagged MRI at Washington University Medical School in St. Louis in 1999. From 2000 to 2003, he worked at Perceptive Scientific Instruments (PSI) Inc and Advanced Digital Imaging Research (ADIR) in Houston, where he has involved with a variety of bio-imaging and bioinformatics projects under the NIH Small Business Innovation Research (SBIR) support. His current research includes genetic imaging, bioinformatics, multiscale mathematical analysis and various biomedical applications, where his work has been supported by NSF, NIH and industries.

Recent Publications
Hongbao Cao, Junbo Duan, Dongdong Lin, Yin Yao Shugart, Vince Calhoun, and Yu-Ping Wang, Sparse Representation Based Biomarker Selection for Schizophrenia with Integrated Analysis of fMRI and SNPs, NeuroImage, Impact factor: 6.252, Special Issue Multi-modal data fusion, accepted, 2014.

J. Duan, H. W. Deng, and Y. P. Wang, Common copy number variation detection from multiple sequenced samples, IEEE Trans. Biomedical Engineering, 2013, in press. 10.1109/TBME.2013.2292588, Date of publications: Nov.26, 2013. IF=2.348

Zhang L, Choi HJ, Estrada K, Leo PJ, Li J, Pei YF, Zhang Y, Lin Y, Shen H, Liu YZ, Liu Y, Zhao Y, Zhang JG, Tian Q, Wang YP, Han Y, Ran S, Hai R, Zhu XZ, Wu S, Yan H, Liu X, Yang TL, Guo Y, Zhang F, Guo YF, Chen Y, Chen X, Tan L, Zhang L, Deng FY, Deng H, Rivadeneira F, Duncan EL, Lee JY, Han BG, Cho NH, Nicholson GC, McCloskey E, Eastell R, Prince RL, Eisman JA, Jones G, Reid IR, Sambrook PN, Dennison EM, Danoy P, Yerges-Armstrong LM, Streeten EA, Hu T, Xiang S, Papasian CJ, Brown MA, Shin CS, Uitterlinden AG, Deng HW., Multistage genome-wide association meta-analyses identified two new loci for bone mineral density, Hum Mol Genet. 2013 Dec 2. [Epub ahead of print], PMID: 24249740. IF=7.692

Pei YF, Zhang L, Papasian CJ, Wang YP, Deng HW, On individual genome-wide association studies and their meta-analysis, Hum Genet. 2013 Oct 11. [Epub ahead of print], PMID: 24114349. IF=5.047

Dongdong Lin, Jigang Zhang, Jinyao Li, Vince D. Calhoun, Hong-Wen Deng and Yu-Ping Wang, Group sparse canonical correlation analysis for genomic data integration, BMC Bioinformatics, 2013, vol.14, no. 150, doi: 10.1186/1471-2105-14-245.

H. Cao, J. Duan, D. Lin, V. Calhoun, Y. Wang, Integrating fMRI and SNP data for biomarker identification for Schizophrenia with a sparse representation based variable selection method, BMC Medical Genomics, 2013, 6(Suppl 3):S2 (11 November 2013). IF=3.47

J. Li, D. Lin, H. Cao, Y. Wang, Classification of Multicolor Fluorescence In-Situ Hybridization (M-FISH) Image Using a Structure Based Sparse Representation Model, BMC Systems Biology, BMC Systems Biology 2013, 7(Suppl 4):S5 doi:10.1186/1752-0509-7-S4-S5, IF=2.98

Dongdong Lin, Vince D. Calhoun, and Yu-Ping Wang, Correspondence between fMRI and SNP Data by Group Sparse Canonical Correlation Analysis, Medical Image Analysis, 2013, doi:10.1016/ IF=4.087

J. Duan, J. Zhang, H. W. Deng, and Y. P. Wang, "CNV-TV: A robust method to discover copy number variation from short sequencing reads”, BMC Bioinformatics, 2013, vol.14, no. 150, doi:10.1186/1471-2105-14-150

W. Tang, J. Duan, J. Zhang, and Y. P. Wang, "Subtyping glioblastoma by combining miRNA and mRNA expression data using compressed sensing-based approach," EURASIP Journal on Bioinformatics and Systems Biology, vol. 2013, 2013.

J. Duan, J. Zhang, H. W. Deng, and Y. P. Wang, "Comparative studies of copy number variation detection methods for next-generation sequencing technologies," PLoS One, vol.8, no.3, 2013.

J. Duan, C. Soussen, D. Brie, J. Idier and Y.-P. Wang, On LARS/homotopy equivalence conditions for over-determined LASSO, IEEE Signal Processing Letters, 19(12), 2012.

Hongbao Cao, Marilyn Li, H.W Deng and Yu-Ping Wang, Classification of multicolor fluorescence in-situ hybridization (M-FISH) images with sparse representation, IEEE Trans. Nano Biosciences, 2012, 11(2): 111-118.

Hongbao Cao, Shufeng Lei, H.W Deng and Yu-Ping Wang, Identification of genes for complex diseases using integrated analysis of multiple types of genomic data, PLOS ONE, Sept., 2012, 7(9):1-8.

Hongbao Cao and Yu-Ping Wang, Segmentation of M-FISH images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm, IEEE Trans. Fuzzy Systems, 2011, 20(1): 1-8.


1430 Tulane Ave, New Orleans, LA 70112