Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Thuc Duy Le
194  Ergebnisse:
englisch X
Personensuche X
?
1

Crosstalk between genomic variants and DNA methylation in F..:

Dao, Bac ; Trinh, Van Ngu ; Nguyen, Huy V...
Briefings in Functional Genomics.  , 2024
Link: https://doi.org/10.1093/..
 
?
2

Data-Driven Causal Effect Estimation Based on Graphical Cau..:

Cheng, Debo ; Li, Jiuyong ; Liu, Lin..
ACM Computing Surveys.  56 (2024)  5 - p. 1-37 , 2024
Link: https://doi.org/10.1145/..
 
?
3

Pan-cancer characterization of ncRNA synergistic competitio..:

Zhang, Junpeng ; Liu, Lin ; Wei, Xuemei...
PLOS Computational Biology.  19 (2023)  10 - p. e1011308 , 2023
Link: https://doi.org/10.1371/..
 
?
4

Unraveling phenotypic variance in metabolic syndrome throug..:

Amente, Lamessa Dube ; Mills, Natalie T ; Le, Thuc Duy..
Human Genetics.  143 (2023)  1 - p. 35-47 , 2023
Link: https://doi.org/10.1007/..
 
?
5

Stabilising Job Survival Analysis for Disability Employment..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Tran, Ha Xuan ; Le, Thuc Duy ; Li, Jiuyong... - p. 4970-4980 , 2023
Link: https://dl.acm.org/doi/1..
 
?
6

Improve interpretability of Information Bottlenecks for Att..:

, In: 2023 IEEE International Conference on Big Data (BigData),
Chen, Xiongren ; Li, Jiuyong ; Liu, Jixue... - p. 1064-1069 , 2023
Link: https://doi.org/10.1109/..
 
?
7

The KDD'23 Workshop on Causal Discovery, Prediction and Dec..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Le, Thuc Duy - p. 5865-5866 , 2023
Link: https://dl.acm.org/doi/1..
 
?
8

What is the Most Effective Intervention to Increase Job Ret..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Tran, Ha Xuan ; Le, Thuc Duy ; Li, Jiuyong... - p. 3981-3991 , 2022
Link: https://dl.acm.org/doi/1..
 
?
9

The KDD 2022 Workshop on Causal Discovery (CD2022):

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Le, Thuc Duy ; Liu, Lin ; Kiciman, Emre.. - p. 4884-4885 , 2022
Link: https://dl.acm.org/doi/1..
 
?
10

miRspongeR 2.0: an enhanced R package for exploring miRNA s..:

Zhang, Junpeng ; Liu, Lin ; Zhang, Wu...
Bioinformatics Advances.  2 (2022)  1 - p. , 2022
Link: https://doi.org/10.1093/..
 
?
11

Causal heterogeneity discovery by bottom-up pattern search ..:

Li, Jiuyong ; Liu, Lin ; Zhang, Shisheng...
Applied Intelligence.  53 (2022)  7 - p. 8180-8194 , 2022
Link: https://doi.org/10.1007/..
 
?
12

Sufficient dimension reduction for average causal effect es..:

Cheng, Debo ; Li, Jiuyong ; Liu, Lin...
Data Mining and Knowledge Discovery.  36 (2022)  3 - p. 1174-1196 , 2022
Link: https://doi.org/10.1007/..
 
?
13

The KDD 2021 Workshop on Causal Discovery (CD2021):

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Le, Thuc Duy ; Li, Jiuyong ; Cooper, Gregory... - p. 4141-4142 , 2021
Link: https://dl.acm.org/doi/1..
 
?
14

Computational methods for cancer driver discovery: A survey:

Pham, Vu Viet Hoang ; Liu, Lin ; Bracken, Cameron...
Theranostics.  11 (2021)  11 - p. 5553-5568 , 2021
Link: https://doi.org/10.7150/..
 
?
15

miRSM: an R package to infer and analyse miRNA sponge modul..:

Zhang, Junpeng ; Liu, Lin ; Xu, Taosheng...
RNA Biology.  18 (2021)  12 - p. 2308-2320 , 2021
Link: https://doi.org/10.1080/..
 
1-15