Thuc  Duy Le
Thuc Duy Le
Associate Professor, University of South Australia
Verified email at - Homepage
Cited by
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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
Computational methods for identifying miRNA sponge interactions
TD Le, J Zhang, L Liu, J Li
Briefings in bioinformatics 18 (4), 577-590, 2017
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
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
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
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
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
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
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
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
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
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
Predicting drug–target binding affinity with graph neural networks
Thin Nguyen, Hang Le, Thomas P. Quinn, Thuc Le, Svetha Venkatesh
BioRXiv,, 2020
Ensemble methods for miRNA target prediction from expression data
TD Le, J Zhang, L Liu, J Li
PloS one 10 (6), e0131627, 2015
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
Mining heterogeneous causal effects for personalized cancer treatment
W Zhang, T Duy Le, L Liu, ZH Zhou, J Li
Bioinformatics, 2017
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
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
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
Practical approaches to causal relationship exploration
J Li, L Liu, TD Le
Springer, 2015
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