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pro vyhledávání: '"Howell Anthony"'
Autor:
Howell, Anthony
Publikováno v:
In Energy Economics January 2025 141
Autor:
Evans, D. Gareth, Morgan, Robert D., Crosbie, Emma J., Howell, Sacha J., Forde, Claire, Howell, Anthony, Lalloo, Fiona, Woodward, Emma R.
Publikováno v:
In Genetics in Medicine September 2024 26(9)
Autor:
Pegington, Mary, Zhen Tam, Hui, Brentnall, Adam, Sestak, Ivana, Adams, Judith, Blake, Glen M., Gareth Evans, D., Howell, Anthony, Cuzick, Jack, Harvie, Michelle
Publikováno v:
In Preventive Medicine Reports February 2024 38
Autor:
Evans, D. Gareth, Woodward, Emma R., Burghel, George J., Allen, Sophie, Torr, Beth, Hamill, Monica, Kavanaugh, Grace, Hubank, Mike, Bremner, Stephen, Jones, Christopher I., Schlecht, Helene, Astley, Susan, Bowers, Sarah, Gibbons, Sarah, Ruane, Helen, Fosbury, Caroline, Howell, Sacha J., Forde, Claire, Lalloo, Fiona, Newman, William G., Smith, Miriam J., Howell, Anthony, Turnbull, Clare, Gandhi, Ashu
Publikováno v:
In Genetics in Medicine Open 2024 2
Autor:
Cuzick, Jack *, Chu, Kim, Keevil, Brian, Brentnall, Adam R, Howell, Anthony, Zdenkowski, Nicholas, Bonanni, Bernardo, Loibl, Sibylle, Holli, Kaija, Evans, D Gareth, Cummings, Steve, Dowsett, Mitch
Publikováno v:
In The Lancet Oncology January 2024 25(1):108-116
Autor:
Howell, Anthony
Publikováno v:
In Journal of Development Economics January 2024 166
Akademický článek
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Autor:
Howell Anthony
Publikováno v:
BMC Medicine, Vol 8, Iss 1, p 73 (2010)
Abstract Genomic data from breast cancers provide additional prognostic and predictive information that is beginning to be used for patient management. The question arises whether additional information derived from other 'omic' approaches such as me
Externí odkaz:
https://doaj.org/article/4d8582d306a94c98ac90b9043c627069
Autor:
Pepper Stuart D, Okoniewski Michal J, Hey Yvonne, Smethurst Graeme J, Sims Andrew H, Howell Anthony, Miller Crispin J, Clarke Robert B
Publikováno v:
BMC Medical Genomics, Vol 1, Iss 1, p 42 (2008)
Abstract Background The number of gene expression studies in the public domain is rapidly increasing, representing a highly valuable resource. However, dataset-specific bias precludes meta-analysis at the raw transcript level, even when the RNA is fr
Externí odkaz:
https://doaj.org/article/4dc8cb273b33401db88b8511374e203e