Dr. Lun-Ching Chang

Education

• Ph.D. in Biostatistics, University of Pittsburgh, 2014

Research Interests

I have a wide range of research interests related to Statistical Genetics, Bioinformatics, Computational Biology and Biostatistics. In methodological research, I focus on developing statistical method for Statistical Genetics (genotype calling and copy number variants detection) and meta-analysis of high-throughput data. In addition, I am also interest in collaborative research. I have many collaborative experience with researchers in different area such as clinical trial, psychiatry, computational biology and genetics.

Research Description

• Statistical Genetics
  • Genotype calling method in sequencing data
  • Copy number variants (CNVs) in whole exome sequencing (WES)
  • Exon deletion in whole exome, whole genome and RNA-Seq

• Meta-analysis
  • Meta-analysis of P-value combination and clustering analysis in microarray data set
  • Integrative-omics study of SNP-array, methylation and gene expression

• Collaborative research
  • Clinical trial
  • Psychiatry (major depressive disorder, aging)

Recent Publications

• Chang, L.C., Das, B., Lih, C.J., Si, H., Camalier, C.E., McGregor III, P.M. and Polley, E., 2016. RefCNV: Identification of Gene-Based Copy Number Variants Using Whole Exome Sequencing. Cancer informatics, 15, p.65.
  
  
• Chang, L.C.,  Li, B., Fang, Z., Vrieze, S., McGue, M., Iacono, W.G., Tseng, G.C. and Chen, W., 2016. A computational method for genotype calling in family-based sequencing data. BMC bioinformatics, 17(1), p.1.
  
  
• Chang, L.C., Jamain, S., Lin, C.W., Rujescu, D., Tseng, G.C. and Sibille, E., 2014. A conserved BDNF, glutamate-and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies. PloS one, 9(3), p.e90980.
  
  
• Chang, L.C., Lin, H.M., Sibille, E. and Tseng, G.C., 2013. Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline. BMC bioinformatics, 14(1), p.1.

• Wang, X., Kang, D.D., Shen, K., Song, C., Lu, S.,  Chang, L.C., Liao, S.G., Huo, Z., Tang, S., Ding, Y. and Kaminski, N., 2012. An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection. Bioinformatics, 28(19), pp.2534-2536.

 

• Full list: my google scholar (https://scholar.google.com/citations?user=89VEfigAAAAJ&hl=en  )