Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Henry Gerdes"'
Autor:
Henry Gerdes, Pedro Casado, Arran Dokal, Maruan Hijazi, Nosheen Akhtar, Ruth Osuntola, Vinothini Rajeeve, Jude Fitzgibbon, Jon Travers, David Britton, Shirin Khorsandi, Pedro R. Cutillas
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Artificial intelligence and machine learning promise to transform cancer therapies by accurately predicting the most appropriate drugs to treat individual patients. Here, the authors present an approach which uses omics data to produce ordered lists
Externí odkaz:
https://doaj.org/article/dd9e23dc4fd245f6935c304010512356
Publikováno v:
Biochemical Journal. 480:403-420
Phosphorylation constitutes the most common and best-studied regulatory post-translational modification in biological systems and archetypal signalling pathways driven by protein and lipid kinases are disrupted in essentially all cancer types. Thus,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::872a7004e15e60dca910f93f3fee6f27
https://doi.org/10.1042/bcj20220220
https://doi.org/10.1042/bcj20220220
Publikováno v:
Methods in Molecular Biology ISBN: 9781071619353
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43950334b638992247177ffb078b84a8
https://doi.org/10.1007/978-1-0716-1936-0_8
https://doi.org/10.1007/978-1-0716-1936-0_8
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2420
The identification of biomarkers for companion diagnostics is revolutionizing the development of treatments tailored to individual patients in different disease areas including cancer. Precision medicine is most frequently based on the detection of g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::deb5871e9368137aa3e1a29f1e706f4d
https://pubmed.ncbi.nlm.nih.gov/34905168
https://pubmed.ncbi.nlm.nih.gov/34905168
Autor:
Henry Gerdes, David Britton, Maruan Hijazi, Nosheen Akhtar, Jon Travers, Pedro R. Cutillas, Shirin Elizabeth Khorsandi, Arran Dokal, Jude Fitzgibbon, Ruth Osuntola, Pedro Casado, Vinothini Rajeeve
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accurately predicting the most appropriate therapies to treat individual patients. Here, we present an approach, named Drug Ranking Using ML (DRUML), which use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfe01d3dd86a2364410d0c61de4e349c
https://pubmed.ncbi.nlm.nih.gov/33767176
https://pubmed.ncbi.nlm.nih.gov/33767176