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Items: 10

1.

ClusTrack: feature extraction and similarity measures for clustering of genome-wide data sets.

Rydbeck H, Sandve GK, Ferkingstad E, Simovski B, Rye M, Hovig E.

PLoS One. 2015 Apr 16;10(4):e0123261. doi: 10.1371/journal.pone.0123261. eCollection 2015.

2.

The Genomic HyperBrowser: an analysis web server for genome-scale data.

Sandve GK, Gundersen S, Johansen M, Glad IK, Gunathasan K, Holden L, Holden M, Liestøl K, Nygård S, Nygaard V, Paulsen J, Rydbeck H, Trengereid K, Clancy T, Drabløs F, Ferkingstad E, Kalas M, Lien T, Rye MB, Frigessi A, Hovig E.

Nucleic Acids Res. 2013 Jul;41(Web Server issue):W133-41. doi: 10.1093/nar/gkt342. Epub 2013 Apr 30.

3.

Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma.

Kresse SH, Rydbeck H, Skårn M, Namløs HM, Barragan-Polania AH, Cleton-Jansen AM, Serra M, Liestøl K, Hogendoorn PC, Hovig E, Myklebost O, Meza-Zepeda LA.

PLoS One. 2012;7(11):e48262. doi: 10.1371/journal.pone.0048262. Epub 2012 Nov 7.

4.

Identification of osteosarcoma driver genes by integrative analysis of copy number and gene expression data.

Kuijjer ML, Rydbeck H, Kresse SH, Buddingh EP, Lid AB, Roelofs H, Bürger H, Myklebost O, Hogendoorn PC, Meza-Zepeda LA, Cleton-Jansen AM.

Genes Chromosomes Cancer. 2012 Jul;51(7):696-706. doi: 10.1002/gcc.21956. Epub 2012 Mar 27.

PMID:
22454324
5.

The differential disease regulome.

Sandve GK, Gundersen S, Rydbeck H, Glad IK, Holden L, Holden M, Liestøl K, Clancy T, Drabløs F, Ferkingstad E, Johansen M, Nygaard V, Tøstesen E, Frigessi A, Hovig E.

BMC Genomics. 2011 Jul 7;12:353. doi: 10.1186/1471-2164-12-353.

6.

The Genomic HyperBrowser: inferential genomics at the sequence level.

Sandve GK, Gundersen S, Rydbeck H, Glad IK, Holden L, Holden M, Liestøl K, Clancy T, Ferkingstad E, Johansen M, Nygaard V, Tøstesen E, Frigessi A, Hovig E.

Genome Biol. 2010;11(12):R121. doi: 10.1186/gb-2010-11-12-r121. Epub 2010 Dec 23.

7.

Evaluation of high-resolution microarray platforms for genomic profiling of bone tumours.

Kresse SH, Szuhai K, Barragan-Polania AH, Rydbeck H, Cleton-Jansen AM, Myklebost O, Meza-Zepeda LA.

BMC Res Notes. 2010 Aug 8;3:223. doi: 10.1186/1756-0500-3-223.

8.

High resolution linkage and linkage disequilibrium analyses of chromosome 1p36 SNPs identify new positional candidate genes for low bone mineral density.

Zhang H, Sol-Church K, Rydbeck H, Stabley D, Spotila LD, Devoto M.

Osteoporos Int. 2009 Feb;20(2):341-6. doi: 10.1007/s00198-008-0668-1. Epub 2008 Jul 3.

PMID:
18597038
9.

Incorporating prior biological information in linkage studies increases power and limits multiple testing.

Lantieri F, Rydbeck H, Griseri P, Ceccherini I, Devoto M.

BMC Proc. 2007;1 Suppl 1:S89. Epub 2007 Dec 18.

10.

Univariate and bivariate variance component linkage analysis of a whole-genome scan for loci contributing to bone mineral density.

Devoto M, Spotila LD, Stabley DL, Wharton GN, Rydbeck H, Korkko J, Kosich R, Prockop D, Tenenhouse A, Sol-Church K.

Eur J Hum Genet. 2005 Jun;13(6):781-8.

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