Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Luke J. Kelly"'
Autor:
Ann-Marie Mallon, Dieter A. Häring, Frank Dahlke, Piet Aarden, Soroosh Afyouni, Daniel Delbarre, Khaled El Emam, Habib Ganjgahi, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Ewan Straiton, Sibylle Haemmerle, Adam Huffman, Tom Hofmann, Luke J. Kelly, Peter Krusche, Marie-Claude Laramee, Karine Lheritier, Greg Ligozio, Aimee Readie, Luis Santos, Thomas E. Nichols, Janice Branson, Chris Holmes
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Novartis and the University of Oxford’s Big Data Institute (BDI) have established a research alliance with the aim to improve health care and drug development by making it more efficient and targeted. Using a combination of the
Externí odkaz:
https://doaj.org/article/d43dee580b834d6ca85817e178bae918
Phylogenetic inference is an intractable statistical problem on a complex space. Markov chain Monte Carlo methods are the primary tool for Bayesian phylogenetic inference but it is challenging to construct efficient schemes to explore the associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17220b0ef5b5dd50e559281fca99114b
http://arxiv.org/abs/2108.13328
http://arxiv.org/abs/2108.13328
Autor:
Tara Clark, Alana Ward, Terri P. McVeigh, Elizabeth Whitmore, Luke J Kelly, David E. Barton, Sally Ann Lynch, Brendan Mullaney
Publikováno v:
Eur J Hum Genet
Multi-gene testing is useful in genetically heterogeneous conditions, including inherited cardiac pathologies. Increasing the number of genes analysed increases diagnostic yield of variants of certain, likely, or uncertain pathogenicity. Concerns exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8b02d9694f1f9b13195490342e80b3b
https://doi.org/10.1038/s41431-019-0391-8
https://doi.org/10.1038/s41431-019-0391-8
Autor:
Xuan Zhu, Sibylle Haemmerle, Luke J. Kelly, David Ohlssen, Luminita Pricop, Matthias Kormaksson
Publikováno v:
Statistics in medicineREFERENCES. 40(14)
Knockoffs provide a general framework for controlling the false discovery rate when performing variable selection. Much of the Knockoffs literature focuses on theoretical challenges and we recognize a need for bringing some of the current ideas into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1479d874639046f2d4820061dbf22a14
https://pubmed.ncbi.nlm.nih.gov/33899260
https://pubmed.ncbi.nlm.nih.gov/33899260
Autor:
Luke J. Kelly, Geoff K. Nicholls
Publikováno v:
Ann. Appl. Stat. 11, no. 2 (2017), 1146-1168
Lateral transfer, a process whereby species exchange evolutionary traits through non-ancestral relationships, is a frequent source of model misspecification in phylogenetic inference. Lateral transfer obscures the phylogenetic signal in the data as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d56121026982cca84d13b5d201479f2a
http://ora.ox.ac.uk/objects/uuid:
http://ora.ox.ac.uk/objects/uuid: