Výsledky vyhledávání - "Brutsche Martin"

Akademický článek

Stability of gene contributions and identification of outliers in multivariate analysis of microarray data

Autor: Schumacher Martin M, Preiswerk Frank, Jaeger Daniel, Baty Florent, Brutsche Martin H

Publikováno v: BMC Bioinformatics, Vol 9, Iss 1, p 289 (2008)

Abstract Background Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages compared to common gene-by-gene approaches. However, due to their

Externí odkaz: https://doaj.org/article/18514217b29944e6889c019929801794

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Akademický článek

Effect of a 14-day course of systemic corticosteroids on the hypothalamic-pituitary-adrenal-axis in patients with acute exacerbation of chronic obstructive pulmonary disease

Autor: Nusbaumer Charly, Baty Florent, Facompre Michael, Süess Erika, Schild Ursula, Christ-Crain Mirjam, Schuetz Philipp, Brutsche Martin, Müller Beat

Publikováno v: BMC Pulmonary Medicine, Vol 8, Iss 1, p 1 (2008)

Background As supra-physiological intake of corticosteroids is a well known risk factor for the development of adrenal insufficiency, we investigated the function of the hypothalamic-pituitary-adrenal (HPA) axis during a 14-day course of systemic cor

Externí odkaz: https://doaj.org/article/abb3e8e896b246bea54de8bb37c5fd8e

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Akademický článek

Analysis with respect to instrumental variables for the exploration of microarray data structures

Autor: Schwager Joseph, Wiegand Jan, Facompré Michaël, Baty Florent, Brutsche Martin H

Publikováno v: BMC Bioinformatics, Vol 7, Iss 1, p 422 (2006)

Abstract Background Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various factors structuring the data which should be taken into account.

Externí odkaz: https://doaj.org/article/f3b2ea933a964743ad2f91046cfad9aa

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Akademický článek

Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data

Autor: Culhane Aedín C, Perrière Guy, Bihl Michel P, Baty Florent, Brutsche Martin H

Publikováno v: BMC Bioinformatics, Vol 6, Iss 1, p 239 (2005)

Abstract Background A recent publication described a supervised classification method for microarray data: Between Group Analysis (BGA). This method which is based on performing multivariate ordination of groups proved to be very efficient for both c

Externí odkaz: https://doaj.org/article/313516b8cfbf4ed79bc8f0a08f88fb1b

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