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Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice.
Front Genet. 2019 Dec 11;10:1205. doi: 10.3389/fgene.2019.01205. eCollection 2019.
Front Genet. 2019.
PMID: 31921281
Free PMC article.
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth.
Coggan H, Andres Terre H, Liò P.
Coggan H, et al. Among authors: andres terre h.
Front Big Data. 2022 Sep 12;5:941451. doi: 10.3389/fdata.2022.941451. eCollection 2022.
Front Big Data. 2022.
PMID: 36172548
Free PMC article.
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Unsupervised generative and graph representation learning for modelling cell differentiation.
Bica I, Andrés-Terré H, Cvejic A, Liò P.
Bica I, et al. Among authors: andres terre h.
Sci Rep. 2020 Jun 17;10(1):9790. doi: 10.1038/s41598-020-66166-8.
Sci Rep. 2020.
PMID: 32555334
Free PMC article.
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CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks.
Buterez D, Bica I, Tariq I, Andrés-Terré H, Liò P.
Buterez D, et al. Among authors: andres terre h.
Bioinformatics. 2022 Feb 7;38(5):1277-1286. doi: 10.1093/bioinformatics/btab804.
Bioinformatics. 2022.
PMID: 34864884
Free PMC article.
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Adversarial generation of gene expression data.
Viñas R, Andrés-Terré H, Liò P, Bryson K.
Viñas R, et al. Among authors: andres terre h.
Bioinformatics. 2022 Jan 12;38(3):730-737. doi: 10.1093/bioinformatics/btab035.
Bioinformatics. 2022.
PMID: 33471074
Free PMC article.
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