Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
410 W 10 ST, HITS STE5000, Indianapolis, IN 46202, USA
Email: cpdong AT iu.edu
 
 
I am a PhD candidate in Bioinformatics at Indiana University. I work for Dr. Yunlong Liu at the Center for Computational Biology and Bioinformatics of Indiana University School of Medicine(IUSM). Before that, I received BS degree from Jilin University, and MS degree from Fudan University.
I am seeking a postdoc opportunity from mid 2022.
My research focuses on developing statistical and informatics methods for analyzing of multi-omics data. Projects include but not limited to
Develop computational methods for alternative splicing induced neoantigens identification
Investigate novel role of intron retention in neurondegeneration diseases
Integrated multi-omics analysis for Alzheimer’s disease human and mouse model data
Machine learning models for cancer cell lines recommendation using omics data
Trancription and splicing regulation analysis, motif analysis
Translational bioinformatics for cancer research
Dong, C., Cesarano, A., Bombaci, G., Reiter, J. L., Yu, C. Y., Wang, Y., ... & Liu, Y. (2021). Intron retention-induced neoantigen load correlates with unfavorable prognosis in multiple myeloma. Oncogene, 1-9.
Liu, J., Dong, C., Liu, Y., & Wu, H. (2021). CGPE: an integrated online server for C ancer G ene and P athway E xploration. Bioinformatics, 37(15), 2201-2202.
Tsai, A. P., Lin, P. B. C., Dong, C., Moutinho, M., Casali, B. T., Liu, Y., ... & Nho, K. (2021). INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia. Neurobiology of disease, 153, 105303.
Liu, S., Sun, X., Li, K., Zha, R., Feng, Y., Sano, T., ... & Yokota, H. (2021). Generation of the tumor-suppressive secretome from tumor cells. Theranostics, 11(17), 8517.
Johnson, T. S., Christina, Y. Y., Huang, Z., Xu, S., Wang, T., Dong, C., ... & Huang, K. (2021). Diagnostic Evidence GAuge of Single cells (DEGAS): A flexible deep-transfer learning framework for prioritizing cells in relation to disease. bioRxiv, 2020-06.
Dong, C., Liu, J., Chen, S. X., Dong, T., Jiang, G., Wang, Y., ... & Liu, Y. (2020). Highly robust model of transcription regulator activity predicts breast cancer overall survival. BMC medical genomics, 13, 1-10.
Liu, Y., Kim, H. G., Dong, E., Dong, C., Huang, M., Liu, Y., ... & Dong, X. C. (2019). Sesn3 deficiency promotes carcinogen-induced hepatocellular carcinoma via regulation of the hedgehog pathway. Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease, 1865(10), 2685-2693.
Huang, M., Kim, H. G., Zhong, X., Dong, C., Zhang, B., Fang, Z., ... & Zhang, C. (2019). Sestrin 3 Protects Against Diet‐Induced Nonalcoholic Steatohepatitis in Mice Through Suppression of Transforming Growth Factor β Signal Transduction. Hepatology.
Zheng, S., Luo, X., Dong, C., Zheng, D., Xie, J., Zhuge, L., ... & Chen, H. (2018). A B7‐CD28 family based signature demonstrates significantly different prognoses and tumor immune landscapes in lung adenocarcinoma. International journal of cancer, 143(10), 2592-2601.
Liu, G., Dong, C., Wang, X., Hou, G., Zheng, Y., Xu, H., ... & Liu, L. (2017). Regulatory activity based risk model identifies survival of stage II and III colorectal carcinoma. Oncotarget, 8(58), 98360.
Liu, G., Zhan, X., Dong, C., & Liu, L. (2017). Genomics alterations of metastatic and primary tissues across 15 cancer types. Scientific reports, 7(1), 1-9.
Zheng, S., Zheng, D., Dong, C., Jiang, J., Xie, J., Sun, Y., & Chen, H. (2017). Development of a novel prognostic signature of long non-coding RNAs in lung adenocarcinoma. Journal of cancer research and clinical oncology, 143(9), 1649-1657.
Hou, G., Dong, C., Dong, Z., Liu, G., Xu, H., Chen, L., ... & Zhou, W. (2017). Upregulate KIF4A enhances proliferation, invasion of hepatocellular carcinoma and indicates poor prognosis across human cancer types. Scientific reports, 7(1), 4148.
Liu, Gang, Chuanpeng Dong, and Lei Liu. "Integrated multiple “-omics” data reveal subtypes of hepatocellular carcinoma." PloS one 11.11 (2016).
Ma, B., Liao, T., Wen, D., Dong, C., Zhou, L., Yang, S., ... & Ji, Q. (2016). Long intergenic non-coding RNA 271 is predictive of a poorer prognosis of papillary thyroid cancer. Scientific reports, 6(1), 1-13.
My google scholar: https://scholar.google.com/citations?user=j89QLMoAAAAJ&hl=en
Chuanpeng Dong © 2022 | IU School of Medicine