Výsledky vyhledávání - "Sætrom Pål"

Akademický článek

Cell-type specificity of ChIP-predicted transcription factor binding sites

Autor: Håndstad Tony, Rye Morten, Močnik Rok, Drabløs Finn, Sætrom Pål

Publikováno v: BMC Genomics, Vol 13, Iss 1, p 372 (2012)

Abstract Background Context-dependent transcription factor (TF) binding is one reason for differences in gene expression patterns between different cellular states. Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) ident

Externí odkaz: https://doaj.org/article/0b5b28a9c30f4fd8b1f4a6427b4e349e

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Akademický článek

Clustered ChIP-Seq-defined transcription factor binding sites and histone modifications map distinct classes of regulatory elements

Autor: Rye Morten, Sætrom Pål, Håndstad Tony, Drabløs Finn

Publikováno v: BMC Biology, Vol 9, Iss 1, p 80 (2011)

Abstract Background Transcription factor binding to DNA requires both an appropriate binding element and suitably open chromatin, which together help to define regulatory elements within the genome. Current methods of identifying regulatory elements,

Externí odkaz: https://doaj.org/article/b781abe5bb9f45938f5340631e93764a

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Akademický článek

A two-step site and mRNA-level model for predicting microRNA targets

Autor: Sætrom Pål, Saito Takaya

Publikováno v: BMC Bioinformatics, Vol 11, Iss 1, p 612 (2010)

Abstract Background Despite experiments showing that the number of microRNA (miRNA) target sites is critical for miRNA targeting, most existing methods focus on identifying individual miRNA target sites and do not model contributions of multiple targ

Externí odkaz: https://doaj.org/article/83d97372083a4b999cea252181ee09b0

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Akademický článek

Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation

Autor: Lundberg Cathryn, Snøve Ola, Sætrom Pål, Smith David D, Rivas Guillermo E, Glackin Carlotta, Larson Garrett P

Publikováno v: BMC Bioinformatics, Vol 9, Iss 1, p 63 (2008)

Abstract Background Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good prognosis, and identify patients likely to have disease recurr

Externí odkaz: https://doaj.org/article/2436caa752004affac8d6f92c79dab51

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Akademický článek

Motif kernel generated by genetic programming improves remote homology and fold detection

Autor: Sætrom Pål, Hestnes Arne JH, Håndstad Tony

Publikováno v: BMC Bioinformatics, Vol 8, Iss 1, p 23 (2007)

Abstract Background Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and unrelated sequences and these studies have introduced several t

Externí odkaz: https://doaj.org/article/5c7899ebef1c4e6486e7dba7581d7a8d

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Akademický článek

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