Identification of a miRNA based model to detect prognostic subgroups in patients with aggressive B-cell lymphoma.

Autor: Nordmo, Carmen^1,2 (AUTHOR), Glehr, Gunther³ (AUTHOR), Altenbuchinger, Michael³ (AUTHOR), Spang, Rainer³ (AUTHOR), Ziepert, Marita⁴ (AUTHOR), Horn, Heike^5,6 (AUTHOR), Staiger, Annette M.^5,6 (AUTHOR), Ott, German⁶ (AUTHOR), Schmitz, Norbert⁷ (AUTHOR), Held, Gerhard⁸ (AUTHOR), Einsele, Hermann¹ (AUTHOR), Topp, Max¹ (AUTHOR), Rosenwald, Andreas² (AUTHOR), Rauert-Wunderlich, Hilka² (AUTHOR)

Publikováno v: Leukemia & Lymphoma. May2021, Vol. 62 Issue 5, p1107-1115. 9p.

Zero-sum regression in action: A prognostic miRNA Signature in DLBCL

Autor: Glehr, Gunther, Nordmo, Carmen, Rauert-Wunderlich, Hilka, Altenbuchinger, Michael, Rosenwald, Andreas, Spang, Rainer

Publikováno v: 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20190908-20190911; Dortmund; DOCAbstr. 267 /20190906/

OMICs data sets need preprocessing before analysis. This intrinsically includes the use of reference points like the mean expression of all features, a defined spike-in or the value of housekeeper genes. Reference points have two major drawbacks: Mea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::246ab16ef2fb3d904ed151f5b9ebe323