Dr. Song Liu Dr. Song Liu

Song Liu

PhD

Special Interests:

Translational Bioinformatics Biomarker Discovery Companion Diagnostics Cancer Genomics Precision Medicine

About Me

Biography:

Song Liu, PhD, is Professor and Vice Chair of the Department of Biostatistics and Bioinformatics of Roswell Park Comprehensive Cancer Center (Roswell Park). He is the director of Bioinformatics at Roswell Park, and faculty member at the Department of Biostatistics of SUNY at Buffalo (UB). His key research interests and expertise include omics data analysis, translational bioinformatics and nonparametric modeling, and he has authored or co-authored over 150 peer-reviewed methodological and collaborative publications.


Credentials

Positions

Roswell Park Comprehensive Cancer Center
  • Professor of Oncology & Vice Chair
  • Department of Biostatistics and Bioinformatics
  • Director of Bioinformatics

Background

Education and Training:

  • BS - University of Science and Technology of China
  • PhD - State University of New York at Buffalo
  • Postdoc - HHMI at Columbia University

Professional Memberships:

  • American Statistical Association
  • American Society of Human Genetics

Research

Research Overview:

The long-term objective of my research is to develop computational and statistical methods to discover genetic risk factors and biomarkers which can predict and monitor the initiation, progression and prognosis of human diseases, with particular focus on cancer. My research depends on the integrative analysis of multi-dimensional data from biomedical science such as microarray, high-throughput sequencing, and so on. I have maintained close collaborations with experimentalists, epidemiologists and clinicians in various fields.

 


Publications

Zhu Q, Yan L, Liu Q, Zhang C, Wei L, Hu Q, Preus L, Clay-Gilmour AI, Onel K, Stram DO, Pooler L, Sheng X, Haiman CA, Zhu X, Spellman SR, Pasquini M, McCarthy PL, Liu S, Hahn T, Sucheston-Campbell LE. Exomechip Analyses Identify Genes Affecting Mortality after HLA-Matched Unrelated Donor Blood and Marrow Transplantation. Blood. 2018 Apr 2. pii: blood-2017-11-817973. doi: 10.1182/blood-2017-11-817973. [Epub ahead of print]

 

Liu S, Kumari S, Hu Q, Senapati D, Venkadakrishnan VB, Wang D, DePriest AD, Schlanger SE, Ben-Salem S, Valenzuela MM, Willard B, Mudambi S, Swetzig WM, Das GM, Shourideh M, Koochekpour S, Falzarano SM, Magi-Galluzzi C, Yadav N, Chen X, Lao C, Wang J, Billaud JN, Heemers HV.A comprehensive analysis of coregulator recruitment, androgen receptor function and gene expression in prostate cancer. eLife 2017;6:e28482

 

Wei L, Wang J, Lampert E, Schlanger S, DePriest AD, Hu Q, Gomez EC, Murakam M, Glenn ST, Conroy J, Morrison C, Azabdaftari G, Mohler JL, Liu S*, and Heemers HV*. Intra- and inter-tumoral genomic heterogeneity of multifocal localized prostate cancer impacts molecular classifications and genomic prognosticators. European Urology. 2017, 71(2):183-192 (*. joint corresponding authors).

 

Yao S, Kwan ML, Ergas IJ, Roh JM, Cheng TD, Hong CC, McCann SE, Tang L, Davis W, Liu S, Quesenberry CP Jr, Lee MM, Ambrosone CB, Kushi LH. Association of Serum Level of Vitamin D at Diagnosis with Breast Cancer Survival: A Case-Cohort Analysis in the Pathways Study. JAMA Oncology. 2017, 3(3):351-357.

 

Karaesmen E, Rizvi A, Preus L, McCarthy P, Pasquini M, Onel K, Zhu X, Spellman S, Haiman C, Stram D, Pooler L, Sheng X, Zhu Q, Yan L, Liu Q, Hu Q, Webb A, Brock G, Clay-Gilmour A, Battaglia S, Tritchler D, Liu S, Hahn T, Sucheston-Campbell L. Replication and validation of genetic polymorphisms associated with survival after allogeneic blood or marrow transplant. Blood. 2017, 130(13):1585-1596.

 

Bagati A, Moparthy S, Bianchi-Smiraglia A, Kolesnikova K, Lipchick B, Kolesnikova M, Jowdy P, Polechetti A, Mahpour A, Fink E, Ross J, Wawrzyniak J, Yun D, Paragh G, Wang J, Liu S, Nemeth MJ, Nikiforov M. Melanoma Suppressor Functions of the Carcinoma Oncogene FOXQ1. Cell Reports. 2017, 20(12):2820-2832.

 

Dong T, Attwood K, Hutson A, Liu S, Tian L. A new diagnostic accuracy measure and cut-point selection criterion. Statistical methods in Medical Research, 2017, 26(6):2832-2852.

 

Ma C and Liu S. Testing equality of proportions for correlated binary data in ophthalmologic studies. Journal of Biopharmaceutical Statistics 2017, 27(4):611-619.

 

Full publication list:

https://scholar.google.com/citations?user=nwPxijEAAAAJ&hl=en