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Activities

Employment (1)

University of Cambridge: Cambridge, England, GB

2019-01-01 to 2021-01-01 | Research associate (Computer Science and Technology)
Employment
Source: Self-asserted source
Helena Andres-Terre

Education and qualifications (3)

University of Cambridge: Cambridge, Cambridgeshire, GB

2015-09-01 to 2019-11-01 | PhD (Computer Science and Technology)
Education
Source: Self-asserted source
Helena Andres-Terre

Queen Mary University of London: London, London, GB

2014-09-01 to 2015-08-31 | MPhil Mathematical Networks (Mathematics)
Education
Source: Self-asserted source
Helena Andres-Terre

Universitat de Barcelona: Barcelona, Catalunya, ES

2009-09-01 to 2014-06-01 | Grau de Física teórica (Física)
Education
Source: Self-asserted source
Helena Andres-Terre

Professional activities (1)

Queen Mary University of London: London, London, GB

2015-08-01 | Best student award (Mathematics)
Distinction
Source: Self-asserted source
Helena Andres-Terre

Works (7)

CellVGAE: An unsupervised scRNA-seq analysis workflow with graph attention networks

2020-12-22 | Other
Contributors: David Buterez; Ioana Bica; Ifrah Tariq; Helena Andrés-Terré; Pietro Liò
Source: check_circle
Crossref

Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice

Frontiers in Genetics
2019-12-11 | Journal article
Part of ISSN: 1664-8021
Source: Self-asserted source
Helena Andres-Terre

Adversarial generation of gene expression data

[]
2019-11-21 | Journal article
Source: Self-asserted source
Helena Andres-Terre

Decoupling feature propagation from the design of graph auto-encoders

2019-10-18 | Preprint
Source: Self-asserted source
Helena Andres-Terre

Unsupervised generative and graph representation learning for modelling cell differentiation

[]
2019-10-16 | Journal article
Source: Self-asserted source
Helena Andres-Terre

Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders

2019-07-10 | Preprint
Source: Self-asserted source
Helena Andres-Terre

GEESE: Metabolically driven latent space learning for gene expression data

[]
2018-07-11 | Journal article
Source: Self-asserted source
Helena Andres-Terre