Výsledky vyhledávání - "Edgren Henrik"

Akademický článek

Array-based gene expression, CGH and tissue data defines a 12q24 gain in neuroblastic tumors with prognostic implication

Autor: Kilpinen Sami, Edgren Henrik, Karhu Ritva, Korja Miikka, Wolf Maija, Ojala Kalle, Mousses Spyro, Kallioniemi Anne, Haapasalo Hannu

Publikováno v: BMC Cancer, Vol 10, Iss 1, p 181 (2010)

Abstract Background Neuroblastoma has successfully served as a model system for the identification of neuroectoderm-derived oncogenes. However, in spite of various efforts, only a few clinically useful prognostic markers have been found. Here, we pre

Externí odkaz: https://doaj.org/article/5fc9893a6d0042f1873aa096cf13a8b1

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Akademický článek

Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line

Autor: Kleivi Kristine, Wolf Maija, Edgren Henrik, Muggerud Aslaug, Dejeux Emelyne, Tost Jörg, Sørlie Therese, Kallioniemi Olli

Publikováno v: BMC Medical Genomics, Vol 2, Iss 1, p 26 (2009)

Abstract Background Using array comparative genomic hybridization (aCGH), a large number of deleted genomic regions have been identified in human cancers. However, subsequent efforts to identify target genes selected for inactivation in these regions

Externí odkaz: https://doaj.org/article/4bb690958573407a811c0d8695aaf493

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Akademický článek

A new look towards BAC-based array CGH through a comprehensive comparison with oligo-based array CGH

Autor: Schalken Jack A, Wasylyk Bohdan, Boileau Fabrice, Edgren Henrik, Veerakumarasivam Abhi, Wolf Maija, Mills Ian G, Carles Annaïck, Wicker Nicolas, Neal David E, Kallioniemi Olli, Poch Olivier

Publikováno v: BMC Genomics, Vol 8, Iss 1, p 84 (2007)

Abstract Background Currently, two main technologies are used for screening of DNA copy number; the BAC (Bacterial Artificial Chromosome) and the recently developed oligonucleotide-based CGH (Chromosomal Comparative Genomic Hybridization) arrays whic

Externí odkaz: https://doaj.org/article/21c2683476a64c49b21004c1fff22b1a

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Akademický článek

Optimized LOWESS normalization parameter selection for DNA microarray data

Autor: Edgren Henrik, Järvinen Anna-Kaarina, Hautaniemi Sampsa, Berger John A, Mitra Sanjit K, Astola Jaakko

Publikováno v: BMC Bioinformatics, Vol 5, Iss 1, p 194 (2004)

Abstract Background Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normalization techniques is the locally weighted scatterplot smoothing (

Externí odkaz: https://doaj.org/article/cb1a6721a74b4634a1876b50b7906892

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