William Yang was born in Lafayette, Indiana in 1997. He contributed to the research of Indiana University at Bloomington with Professor Zhongxue Chen, Director of IU Study Design and Statistical Analysis Consulting Center, and the research of Professor Kenji Yoshogoe, Director of National Center of Academic Excellence in Information Assurance and Cyber Defense at the University of Arkansas at Little Rock. William's collaborative research in the interdisciplinary field received recognitions, and one of his award-winning highly accessed articles was selected by Harvard University in Cambridge for open digital access to scholarships at Harvard University. William is currently working at the University of Texas at Austin with Dr Matthew Vaughn, Director of Life Sciences Computing at Texas Advanced Computing Center, on the causes and consequences of epigenetic variation in maize.
Publications:
1. William Yang, K Yoshigoe, X Qin, J Liu, J Yang, A Niemierko, Y Deng, Y Liu, A Dunker, Z Chen, L Wang, D Xu, H Arabnia, W Tong, M Yang “Identification of genes and pathways involved in kidney renal clear cell carcinoma” BMC Bioinformatics (impact factor: 2.67) Vol. 15, Highly accessed, Open Access, http://dash.Harvard.edu/bitstream/handle/1/14065393/4304191.pdfHarvard University in Cambridge has selected this article openly available for digital access to scholarships for Harvard community. NIH PubMed ID: 25559354, PubMed Central ID: PMC4304191, BioMed Central, 2014. http://www.GenomeBiology.com/1471-2105/15/S17/S2
2. Z Chen, William Yang, Q Liu, J Yang, J Li, M Yang “A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study” BMC Bioinformatics, Vol. 15. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304193, NIH PubMed ID: 25559433, PubMed Central ID: PMC4304193, Open Access, BioMed Central, December 2014
3. M Yang, K Yoshigoe, William Yang, X Qin, K. Dunker, Z Chen, H Arabnia, J. Liu, A Niemierko, J. Yang “The emerging genomics and systems biology research lead to systems genomics studies”, BMC Genomics (impact factor 4.04), Volume 15, NIH PubMed ID: 25558922, http://www.ncbi.nlm.nih.gov/pubmed/25558922, Open Access, BioMed Central, 2014
4. C Liu, L Lu, Q Kong, Y Li, H Wu, William Yang, S Xu, X Yang, X Song, J Yang, M Yang, Y Deng “Developing discriminate model and comparative analysis of differentially expressed genes pathways for bloodstream samples of diabetes mellitus type 2”. BMC Bioinformatics, Vol. 15, PubMed ID: 25559614, http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304197, PubMed Central ID: PMC4304197, Open Access, BioMed Central, 2014.
Publications:
1. William Yang, K Yoshigoe, X Qin, J Liu, J Yang, A Niemierko, Y Deng, Y Liu, A Dunker, Z Chen, L Wang, D Xu, H Arabnia, W Tong, M Yang “Identification of genes and pathways involved in kidney renal clear cell carcinoma” BMC Bioinformatics (impact factor: 2.67) Vol. 15, Highly accessed, Open Access, http://dash.Harvard.edu/bitstream/handle/1/14065393/4304191.pdfHarvard University in Cambridge has selected this article openly available for digital access to scholarships for Harvard community. NIH PubMed ID: 25559354, PubMed Central ID: PMC4304191, BioMed Central, 2014. http://www.GenomeBiology.com/1471-2105/15/S17/S2
2. Z Chen, William Yang, Q Liu, J Yang, J Li, M Yang “A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study” BMC Bioinformatics, Vol. 15. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304193, NIH PubMed ID: 25559433, PubMed Central ID: PMC4304193, Open Access, BioMed Central, December 2014
3. M Yang, K Yoshigoe, William Yang, X Qin, K. Dunker, Z Chen, H Arabnia, J. Liu, A Niemierko, J. Yang “The emerging genomics and systems biology research lead to systems genomics studies”, BMC Genomics (impact factor 4.04), Volume 15, NIH PubMed ID: 25558922, http://www.ncbi.nlm.nih.gov/pubmed/25558922, Open Access, BioMed Central, 2014
4. C Liu, L Lu, Q Kong, Y Li, H Wu, William Yang, S Xu, X Yang, X Song, J Yang, M Yang, Y Deng “Developing discriminate model and comparative analysis of differentially expressed genes pathways for bloodstream samples of diabetes mellitus type 2”. BMC Bioinformatics, Vol. 15, PubMed ID: 25559614, http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304197, PubMed Central ID: PMC4304197, Open Access, BioMed Central, 2014.