Thuc  Duy Le
Thuc Duy Le
Associate Professor, University of South Australia
Verified email at unisa.edu.au - Homepage
Title
Cited by
Cited by
Year
Assessment of network module identification across complex diseases
S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ...
Nature methods 16 (9), 843-852, 2019
93*2019
Computational methods for identifying miRNA sponge interactions
TD Le, J Zhang, L Liu, J Li
Briefings in bioinformatics 18 (4), 577-590, 2017
782017
Inferring microRNA–mRNA causal regulatory relationships from expression data
TD Le, L Liu, A Tsykin, GJ Goodall, B Liu, BY Sun, J Li
Bioinformatics 29 (6), 765-771, 2013
782013
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization
T Xu, TD Le, L Liu, N Su, R Wang, B Sun, A Colaprico, G Bontempi, J Li
Bioinformatics 33 (19), 3131-3133, 2017
722017
A fast PC algorithm for high dimensional causal discovery with multi-core PCs
TD Le, T Hoang, J Li, L Liu, H Liu, S Hu
IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2016
612016
Identifying cancer subtypes from mirna-tf-mrna regulatory networks and expression data
T Xu, TD Le, L Liu, R Wang, B Sun, J Li
PloS one 11 (4), e0152792, 2016
592016
Mining causal association rules
J Li, TD Le, L Liu, J Liu, Z Jin, B Sun
2013 IEEE 13th International Conference on Data Mining Workshops, 114-123, 2013
552013
From observational studies to causal rule mining
J Li, TD Le, L Liu, J Liu, Z Jin, B Sun, S Ma
ACM Transactions on Intelligent Systems and Technology (TIST) 7 (2), 1-27, 2015
492015
Inferring microRNA and transcription factor regulatory networks in heterogeneous data
TD Le, L Liu, B Liu, A Tsykin, GJ Goodall, K Satou, J Li
BMC bioinformatics 14 (1), 1-13, 2013
422013
LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer
J Zhang, L Liu, J Li, TD Le
Bioinformatics 34 (24), 4232-4240, 2018
402018
Causal decision trees
J Li, S Ma, T Le, L Liu, J Liu
IEEE Transactions on Knowledge and Data Engineering 29 (2), 257-271, 2016
392016
From miRNA regulation to miRNA–TF co-regulation: computational approaches and challenges
TD Le, L Liu, J Zhang, B Liu, J Li
Briefings in bioinformatics 16 (3), 475-496, 2015
382015
Predicting drug–target binding affinity with graph neural networks
Thin Nguyen, Hang Le, Thomas P. Quinn, Thuc Le, Svetha Venkatesh
BioRXiv, https://doi.org/10.1101/684662, 2020
37*2020
Ensemble methods for miRNA target prediction from expression data
TD Le, J Zhang, L Liu, J Li
PloS one 10 (6), e0131627, 2015
362015
miRLAB: an R based dry lab for exploring miRNA-mRNA regulatory relationships
TD Le, J Zhang, L Liu, H Liu, J Li
PloS one 10 (12), e0145386, 2015
312015
Mining heterogeneous causal effects for personalized cancer treatment
W Zhang, T Duy Le, L Liu, ZH Zhou, J Li
Bioinformatics, 2017
302017
Discovery of causal rules using partial association
Z Jin, J Li, L Liu, TD Le, B Sun, R Wang
2012 IEEE 12th International Conference on Data Mining, 309-318, 2012
302012
Multi-source causal feature selection
K Yu, L Liu, J Li, W Ding, TD Le
IEEE transactions on pattern analysis and machine intelligence 42 (9), 2240-2256, 2019
272019
Identification of miRNA-mRNA regulatory modules by exploring collective group relationships
SMM Karim, L Liu, TD Le, J Li
BMC genomics 17 (1), 71-84, 2016
252016
Practical approaches to causal relationship exploration
J Li, L Liu, TD Le
Springer, 2015
252015
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