Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Helena Andrés-Terré"'
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Abstract Using machine learning techniques to build representations from biomedical data can help us understand the latent biological mechanism of action and lead to important discoveries. Recent developments in single-cell RNA-sequencing protocols h
Externí odkaz:
https://doaj.org/article/dfe3326beb63483f91402dc5465d9cf2
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports
Scientific Reports
Using machine learning techniques to build representations from biomedical data can help us understand the latent biological mechanism of action and lead to important discoveries. Recent developments in single-cell RNA-sequencing protocols have allow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df56e7f6b4ffb185492e64ecf73f3764
https://doaj.org/article/dfe3326beb63483f91402dc5465d9cf2
https://doaj.org/article/dfe3326beb63483f91402dc5465d9cf2
Publikováno v:
Bioinformatics (Oxford, England). 38(5)
Motivation Single-cell RNA sequencing allows high-resolution views of individual cells for libraries of up to millions of samples, thus motivating the use of deep learning for analysis. In this study, we introduce the use of graph neural networks for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a717bc75a4689f721659806869d0fac
https://pubmed.ncbi.nlm.nih.gov/34864884
https://pubmed.ncbi.nlm.nih.gov/34864884
Publikováno v:
Bioinformatics
Motivation High-throughput gene expression can be used to address a wide range of fundamental biological problems, but datasets of an appropriate size are often unavailable. Moreover, existing transcriptomics simulators have been criticized because t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c4a2e386b8cd20c8ae058963a6631c8
Autor:
Helena Andrés-Terré, Ifrah Tariq, Nikola Simidjievski, Paul Scherer, Cristian Bodnar, Zohreh Shams, Pietro Liò, Mateja Jamnik
Publikováno v:
Frontiers in Genetics
Frontiers in Genetics, Vol 10 (2019)
Frontiers in Genetics, Vol 10 (2019)
International initiatives such as the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), Cancer Genome Atlas (TCGA), and the International Cancer Genome Consortium (ICGC) are collecting multiple data sets at different genome-sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4efaff7dc429152345e263147898b900
Gene expression microarrays provide a characterisation of the transcriptional activity of a particular biological sample. Their high dimensionality hampers the process of pattern recognition and extraction. Several approaches have been proposed for g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9a8b66ab2d2d106e8fffdad175e7ff1
https://doi.org/10.1101/365643
https://doi.org/10.1101/365643