Le Yang
Citata da
Citata da
Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data
R Chen, L Yang, S Goodison, Y Sun
Bioinformatics 36 (5), 1476-1483, 2020
A modified clustering method based on self-organizing maps and its applications
L Yang, Z Ouyang, Y Shi
Procedia Computer Science 9, 1371-1379, 2012
SimplePPT: A simple principal tree algorithm
Q Mao, L Yang, L Wang, S Goodison, Y Sun
Proceedings of the 2015 SIAM International Conference on Data Mining, 792-800, 2015
SENSE: Siamese neural network for sequence embedding and alignment-free comparison
W Zheng, L Yang, RJ Genco, J Wactawski-Wende, M Buck, Y Sun
Bioinformatics 35 (11), 1820-1828, 2019
Computational approach for deriving cancer progression roadmaps from static sample data
Y Sun, J Yao, L Yang, R Chen, NJ Nowak, S Goodison
Nucleic acids research 45 (9), e69-e69, 2017
A multimodal framework for unsupervised feature fusion
X Li, J Gao, H Li, L Yang, RK Srihari
Proceedings of the 22nd ACM international conference on information …, 2013
An efficient and effective method to identify significantly perturbed subnetworks in cancer
L Yang, R Chen, S Goodison, Y Sun
Nature Computational Science 1 (1), 79-88, 2021
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