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Dr Buu Truong

Visiting Academic UniSA Allied Health & Human Performance

City East Campus ()
tel +61 8 830 27733

email Buu.Truong@unisa.edu.au

Research

Research focus

Biological Sciences
Information and Computing Sciences
Mathematical Sciences
Biochemistry and Cell Biology
Computation Theory and Mathematics

Research

Outputs

Research outputs for the last seven years are shown below. To see earlier years visit ORCID

Open access indicates that an output is open access.

Chapters

Year	Output
2020	Zhang, J, Nguyen, T, Truong, B, Liu, L, Li, J & Le, TD 2020, 'Computational methods for predicting autism spectrum disorder from gene expression data', ADMA 2020: Advanced Data Mining and Applications, Springer, Singapore, pp. 395-409.

Journal Articles

Year	Output
2022	Pham, D, Truong, B, Tran, K, Ni, G, Nguyen, D, Tran, TT, Tran, MH, Nguyen Thuy, D, Vo, NS & Nguyen, Q 2022, 'Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam', Briefings in Bioinformatics, vol. 23, no. 6, pp. 1-9. Open access
2021	Li, X, Truong, B, Xu, T, Liu, L, Li, J & Le, TD 2021, 'Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis', BMC Bioinformatics, vol. 300, pp. 1-22. Open access 1 1 2
2021	Nguyen, T, Lee, SC, Quinn, TP, Truong, B, Li, X, Tran, T, Venkatesh, S & Le, TD 2021, 'PAN: Personalized Annotation-Based networks for the prediction of Breast Cancer relapse', IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 6, pp. 2841 - 2847. 2 2 1
2021	Pham, VV, Li, X, Truong, B, Nguyen, T, Liu, L, Li, J & Le, TD 2021, 'The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge', Briefings in Bioinformatics, vol. 22, no. 3, pp. 1-4. Open access 1 10
2020	Tanevski, J, Nguyen, T, Truong, B, Karaiskos, N, Pham, HV, Xiaomei, L, Le, TD & Meyer, P and 30 other authors & 1 consortia 2020, 'Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data', Life Science Alliance, vol. 3, no. 11, article no. e202000867, pp. 1-13. Open access 8 7 13
2020	Truong, B, Zhou, X, Shin, J, Li, J, van der Werf, JH, Le, TD & Lee, SH 2020, 'Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives', Nature Communications, vol. 11, article no. 3074, pp. 1-11. Open access 14 12 32

External engagement & recognition

Collaborations

External engagement & recognition

Collaborations

Organisation	Country
Dali University	CHINA
Deakin University	AUSTRALIA
Heidelberg University	GERMANY
Max Delbrück Center for Molecular Medicine in the Helmholtz Association	GERMANY
TJ Watson Research Center	UNITED STATES
University of New England	AUSTRALIA
University of Queensland	AUSTRALIA
University of Science and Technology of China	CHINA
University of South Australia	AUSTRALIA

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