BMC Bioinformatics

official impact factor 3.03

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Exon level integration of proteomics and microarray data

Danny A Bitton, Michał J Okoniewski, Yvonne Connolly and Crispin J Miller*

BMC Bioinformatics 2008, 9:118 doi:10.1186/1471-2105-9-118

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Method   Open Access Highly Accessed

Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies

Essi Laajala, Tero Aittokallio, Riitta Lahesmaa, Laura L Elo Genome Biology 2009, 10:R77 (16 July 2009)

A novel statistical procedure is presented that uses probe-level information on Affymetrix exon arrays to detect differential splicing.

Research   Open Access Highly Accessed

A kernel-based integration of genome-wide data for clinical decision support

Anneleen Daemen, Olivier Gevaert, Fabian Ojeda, Annelies Debucquoy, Johan AK Suykens, Christine Sempoux, Jean-Pascal Machiels, Karin Haustermans, Bart De Moor Genome Medicine 2009, 1:39 (3 April 2009)

A kernel-based supervised classification algorithm allows the integration of genome-wide data from different sources and improves the prediction of clinical outcomes from cancer data sets.

Research article   Open Access Highly Accessed

Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies

Henrik Hornshøj, Emøke Bendixen, Lene N Conley, Pernille K Andersen, Jakob Hedegaard, Frank Panitz, Christian Bendixen BMC Genomics 2009, 10:30 (19 January 2009)