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Publications

ORCID: 0000-0002-0274-4025.

For a complete publication list, check my Google Scholar

Published

  • Chunmei Fu, Tianle Ma, Li Zhou, Qing-Sheng Mi, and Aimin Jiang. "Dendritic Cell-Based Vaccines Against Cancer: Challenges, Advances and Future Opportunities." Immunological investigations (2022): 1-26. (Impact Factor: 3.657)

  • Timilsina, S., T. Kirsch-Mangu, S. Werth, B. Shepard, Tianle Ma, and Luis G. Villa-Diaz. "Enhanced self-renewal of human pluripotent stem cells by simulated microgravity." npj Microgravity 8, no. 1 (2022): 1-9. (Impact Factor: 4.97)

  • Tianle Ma, and Aidong Zhang. "Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE)." BMC genomics 20, no. 11 (2019): 1-11. (Impact Factor: 4.56)

  • S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, et al. "Assessment of network module identification across complex diseases." Nature methods 16 (9), 843-852 (Impact Factor: 47.99)

  • Tianle Ma, and Aidong Zhang. "Affinity network fusion and semi-supervised learning for cancer patient clustering." Methods 145 (2018): 16-24. (Impact Factor: 4.65)

  • Tianle Ma, and Aidong Zhang. "Reconstructing context-specific gene regulatory network and identifying modules and network rewiring through data integration." Methods 124 (2017): 36-45. (Impact Factor: 4.65, Cited 1)

  • Tianle Ma, and Aidong Zhang. "Omics informatics: from scattered individual software tools to integrated workflow management systems." IEEE/ACM Transactions on Computational Biology and Bioinformatics 14, no. 4 (2016): 926-946. (Impact Factor: 3.71)

  • Tianle Ma, and Aidong Zhang. "Affinitynet: semi-supervised few-shot learning for disease type prediction." In Proceedings of the AAAI conference on artificial intelligence, vol. 33, no. 01, pp. 1069-1076. 2019. (h5-index: 180, Acceptance rate: 22%)

  • Tianle Ma, and Aidong Zhang. "Multi-view factorization autoencoder with network constraints for multi-omic integrative analysis." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 702-707. IEEE, 2018. (h5-index: 29, Acceptance Rate: 19%)

  • Tianle Ma, and Aidong Zhang. "Integrate multi-omic data using affinity network fusion (ANF) for cancer patient clustering." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 398-403. IEEE, 2017. (h5-index: 29, Acceptance Rate: 19%)

  • Tianle Ma, and Aidong Zhang. "A framework for robust differential network modular structure discovery from RNA-seq data." In 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 288-293. IEEE, 2016. (h5-index: 29, Acceptance Rate: 19%)

  • Tianle Ma, Yujiu Yang, Liangwei Wang, Bo Yuan (2014). "Recommending People to Follow Using Asymmetric Factor Models with Social Graphs." In: Snášel, V., Krömer, P., Köppen, M., Schaefer, G. (eds) Soft Computing in Industrial Applications. Advances in Intelligent Systems and Computing, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-319-00930-8_24