School of Medicine

Wayne State University School of Medicine

Seongho Kim

Seongho Kim, PhD.
Assistant Professor
 87 East Canfield Street
Detroit, MI 48201

Research Interests:

Pharmacokinetic/Pharmacodynamic (PK/PD) data analysis; High-throughput data analysis; Disease progressive modeling; Metabolomics

Research Description:
Dr. Kim's research interests lie in the data analysis and the methodology development for biological and clinical cancer data. He has participated in various research projects, including pattern recognitions, decision support systems, comparative genomics, metabolomics, pharmacokinetics/pharmacodynamics, biomarker discovery, high-dimensional data analysis, pathway analysis, and cancer screening.

Recent Publications:

Deshmukh RR, Kim S, Elqhoul Y, Dou QP. P-Glycoprotein Inhibition Sensitizes Human Breast Cancer Cells to Proteasome Inhibitors. J Cell Biochem.  In Press. Published online before print. DOI: 10.1002/jcb.25783 PMID: 27813130

Kim S, Heath E, Heilbrun L. Sample size determination for logistic regression on a logit-normal distribution. Statistical Methods in Medical Research. In Press. Published online before print. DOI: 10.1177/0962280215572407 PMCID: PMC4560689

Kim S, Jang H, Koo I, Lee J, Zhang X. Normal-Gamma-Bernoulli Peak Detection for Analysis of Comprehensive Two-Dimensional Gas Chromatography Mass Spectrometry Data. Comput Stat Data Anal., 2017;105:96-111.

Kim S, Carruthers N, Lee J, Chinni S, Stemmer P. Classification-based quantitative analysis of stable isotope labeling by amino acids in cell culture (SILAC) data. Computer Methods and Programs in Biomedicine., 2016;137:137-148.

Conley-LaComb MK, Semaan L, Singareddy R, Li Y, Heath E, Kim S, Cher ML, Chinni SR. Pharmacological targeting of CXCL12/CXCR4 signaling in prostate cancer bone metastasis. Mol Cancer., 2016;15:68.

Deng B, Kim S, Li H, Heath E, Zhang X. Global peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using point matching algorithms. J Bioinform Comput Biol., 2016;14:1650032.

Kim S. Parameter Estimation Using Divide-and-Conquer Methods for Differential Equation Models. J Biom Biostat., 2016;7. The first and corresponding author and responsible for statistical design and analysis, writing and editing the manuscript.

Modi D, Jang H, Kim S, Deol A, Ayash L, Bhutani D, Lum LG, Ratanatharathorn V, Manasa R, Mellert K, Uberti JP. Incidence, etiology, and outcome of pleural effusions in allogeneic hematopoietic stem cell transplantation. Am J Hematol., 2016;91:E341-7.

Liu R, Wu D, Zhang X, Kim S. Compound Identification Using Penalized Linear Regression on Metabolomics. Journal of Modern Applied Statistical Methods, 2016;15:20.

Koo I, Kim S, Shi B, Lorkiewicz P, Song M, McClain C, Zhang X. Eider: A compound identification tool for gas chromatography mass spectrometry data. Journal of Chromatography A., 2016;1448:107-114.

Li J, Kim S, Shields AF, Douglas KA, McHugh CI, Lawhorn-Crews JM, Wu J, Manqner TJ, LoRusso PM. Integrating dynamic positron emission tomography and conventional pharmacokinetic studies to delineate plasma and tumor pharamacokinetics of FAU, a Prodrug Bioactivated by Thymidylate Synthase. J Clin Pharmacol, 2016;56:1433-47.

Modi D, Hwang C, Mamdani H, Kim S, Gayar H, Vaishampayan U, Joyrich R, Heath E. Radim-223 in heavily pretreated metastatic castrate-resistant prostate cancer. Clinical Genitourinary Cancer, 2016;14:373-80.

Education and Training:
Post-doctoral Fellow in Biostatistics (2008): Indiana University School of Medicine, Indianapolis, INPost-doctoral Fellow in Bioinformatics (2006): Georgia Institute of Technology, Atlanta, GA
PhD in Applied Statistics (2005): KAIST, South Korea

Cancer Biology Courses Taught:
CB7600 Applied Cancer Biostatistics (Course Director)