Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Timothy Ebbels"'
Autor:
Cecilia Wieder, Juliette Cooke, Clement Frainay, Nathalie Poupin, Russell Bowler, Fabien Jourdan, Katerina J Kechris, Rachel Pj Lai, Timothy Ebbels
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011814 (2024)
As terabytes of multi-omics data are being generated, there is an ever-increasing need for methods facilitating the integration and interpretation of such data. Current multi-omics integration methods typically output lists, clusters, or subnetworks
Externí odkaz:
https://doaj.org/article/d2cc81da3c5e4dfc905dda29ad6a12c4
Autor:
Juliette Cooke, Maxime Delmas, Cecilia Wieder, Pablo Rodríguez Mier, Clément Frainay, Florence Vinson, Timothy Ebbels, Nathalie Poupin, Fabien Jourdan
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 2, p e1011381 (2024)
Metabolic profiling (metabolomics) aims at measuring small molecules (metabolites) in complex samples like blood or urine for human health studies. While biomarker-based assessment often relies on a single molecule, metabolic profiling combines sever
Externí odkaz:
https://doaj.org/article/addb1baefa6e45aa91346ae67d1b18df
Autor:
Cecilia Wieder, Clément Frainay, Nathalie Poupin, Pablo Rodríguez-Mier, Florence Vinson, Juliette Cooke, Rachel Pj Lai, Jacob G Bundy, Fabien Jourdan, Timothy Ebbels
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009105 (2021)
Over-representation analysis (ORA) is one of the commonest pathway analysis approaches used for the functional interpretation of metabolomics datasets. Despite the widespread use of ORA in metabolomics, the community lacks guidelines detailing its be
Externí odkaz:
https://doaj.org/article/38f5454156524f19b62777d46227717a
Publikováno v:
Metabolites, Vol 9, Iss 5, p 92 (2019)
Metabolomic studies with a time-series design are widely used for discovery and validation of biomarkers. In such studies, changes of metabolic profiles over time under different conditions (e.g., control and intervention) are compared, and metabolit
Externí odkaz:
https://doaj.org/article/2bd0448b088d4ef6a2b6888e98bd2ee5
Autor:
Rui Climaco Pinto, Ibrahim Karaman, Matthew R. Lewis, Jenny Hällqvist, Manuja Kaluarachchi, Gonçalo Graça, Elena Chekmeneva, Brenan Durainayagam, Mohsen Ghanbari, M. Arfan Ikram, Henrik Zetterberg, Julian Griffin, Paul Elliott, Ioanna Tzoulaki, Abbas Dehghan, David Herrington, Timothy Ebbels
Publikováno v:
Analytical Chemistry, 94(14), 5493-5503. American Chemical Society
Integration of multiple datasets can greatly enhance bioanalytical studies, for example, by increasing power to discover and validate biomarkers. In liquid chromatography-mass spectrometry (LC-MS) metabolomics, it is especially hard to combine untarg
Single sample pathway analysis (ssPA) transforms molecular level omics data to the pathway level, enabling the discovery of patient-specific pathway signatures. Compared to conventional pathway analysis, ssPA overcomes the limitations by enabling mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed68bbe5b4514ecc095d644377a2b4f4
http://hdl.handle.net/10044/1/101165
http://hdl.handle.net/10044/1/101165
Autor:
Michael Judge, Timothy Ebbels
Publikováno v:
Metabolomics : Official journal of the Metabolomic Society. 18(12)
Background Compound identification remains a critical bottleneck in the process of exploiting Nuclear Magnetic Resonance (NMR) metabolomics data, especially for 1H 1-dimensional (1H 1D) data. As databases of reference compound spectra have grown, wor
Autor:
Timothy Ebbels
Publikováno v:
Metabolomics. 9:529-531
Publikováno v:
Molecular BioSystems. 7:2081
Autor:
Timothy Ebbels
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 295:75