Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Helena Andres Terre"'
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Recent years have seen an increase in the application of machine learning to the analysis of physical and biological systems, including cancer progression. A fundamental downside to these tools is that their complexity and nonlinearity makes it almos
Externí odkaz:
https://doaj.org/article/01f38719d51c44eda3d4f5bd235fac27
Autor:
Nikola Simidjievski, Cristian Bodnar, Ifrah Tariq, Paul Scherer, Helena Andres Terre, Zohreh Shams, Mateja Jamnik, Pietro Liò
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
International initiatives such as the Molecular Taxonomy of Breast Cancer International Consortium are collecting multiple data sets at different genome-scales with the aim to identify novel cancer bio-markers and predict patient survival. To analyze
Externí odkaz:
https://doaj.org/article/4424f710f0d3481696029d0083e8975f
Autor:
Paul Scherer, Maja Trębacz, Nikola Simidjievski, Ramon Viñas, Zohreh Shams, Helena Andres Terre, Mateja Jamnik, Pietro Liò
Motivation Gene expression data are commonly used at the intersection of cancer research and machine learning for better understanding of the molecular status of tumour tissue. Deep learning predictive models have been employed for gene expression da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ee413f3526381077c8e65f12e2024a0
https://www.repository.cam.ac.uk/handle/1810/331638
https://www.repository.cam.ac.uk/handle/1810/331638
