BMC Bioinformatics

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Iterative Group Analysis (iGA): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments

Rainer Breitling*, Anna Amtmann and Pawel Herzyk

BMC Bioinformatics 2004, 5:34 doi:10.1186/1471-2105-5-34

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BioMed Central: 14 citations

Research article   Open Access

Robust extraction of functional signals from gene set analysis using a generalized threshold free scoring function

Petri Törönen, Pauli J Ojala, Pekka Marttinen, Liisa Holm BMC Bioinformatics 2009, 10:307 (23 September 2009)

Methodology article   Open Access Highly Accessed

Improving detection of differentially expressed gene sets by applying cluster enrichment analysis to Gene Ontology

Tao Xu, JianLei Gu, Yan Zhou, LinFang Du BMC Bioinformatics 2009, 10:240 (5 August 2009)

Research article   Open Access Highly Accessed

Genes of cell-cell interactions, chemotherapy detoxification and apoptosis are induced during chemotherapy of acute myeloid leukemia

Anne Øyan, Nina Ånensen, Trond Bø, Laila Stordrange, Inge Jonassen, Øystein Bruserud, Karl-Henning Kalland, Bjørn Gjertsen BMC Cancer 2009, 9:77 (5 March 2009)

Changes in gene expression can be monitored hours after the start of chemotherapy in acute myeloid leukemia patients and reveal that the treatment upregulates genes involved in chemoresistance, detoxification and cell-cell interactions.

Software   Open Access Highly Accessed

GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists

Eran Eden, Roy Navon, Israel Steinfeld, Doron Lipson, Zohar Yakhini BMC Bioinformatics 2009, 10:48 (3 February 2009)

Research article   Open Access

Pathways affected by asbestos exposure in normal and tumour tissue of lung cancer patients

Salla Ruosaari, Tuija Hienonen-Kempas, Anne Puustinen, Virinder K Sarhadi, Jaakko Hollmén, Sakari Knuutila, Juha Saharinen, Harriet Wikman, Sisko Anttila BMC Medical Genomics 2008, 1:55 (11 November 2008)

Methodology article   Open Access Highly Accessed

Gene set analyses for interpreting microarray experiments on prokaryotic organisms

Nathan L Tintle, Aaron A Best, Matthew DeJongh, Dirk Van Bruggen, Fred Heffron, Steffen Porwollik, Ronald C Taylor BMC Bioinformatics 2008, 9:469 (5 November 2008)

Software   Open Access

Prosecutor: parameter-free inference of gene function for prokaryotes using DNA microarray data, genomic context and multiple gene annotation sources

Evert Blom, Rainer Breitling, Klaas Hofstede, Jos BTM Roerdink, Sacha AFT van Hijum, Oscar P Kuipers BMC Genomics 2008, 9:495 (21 October 2008)

Research article   Open Access Highly Accessed

M-BISON: Microarray-based integration of data sources using networks

Bernie J Daigle, Russ B Altman BMC Bioinformatics 2008, 9:214 (25 April 2008)

Research article   Open Access Highly Accessed

Brain gene expression profiles of Cln1 and Cln5 deficient mice unravels common molecular pathways underlying neuronal degeneration in NCL diseases

Carina von Schantz, Juha Saharinen, Outi Kopra, Jonathan D Cooper, Massimiliano Gentile, Iiris Hovatta, Leena Peltonen, Anu Jalanko BMC Genomics 2008, 9:146 (28 March 2008)

Methodology article   Open Access

A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification

Antonio Marco, Ignacio Marín BMC Bioinformatics 2007, 8:442 (15 November 2007)

Poster presentation   Open Access

A global statistical test for improved detection of gene activity

David JG Bakewell, Ernst Wit BMC Systems Biology 2007, 1(Suppl 1):P10 (8 May 2007)

Research article   Open Access Highly Accessed

Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines

Penny Nymark, Pamela M Lindholm, Mikko V Korpela, Leo Lahti, Salla Ruosaari, Samuel Kaski, Jaakko Hollmén, Sisko Anttila, Vuokko L Kinnula, Sakari Knuutila BMC Genomics 2007, 8:62 (1 March 2007)

Methodology article   Open Access

Comparing functional annotation analyses with Catmap

Thomas Breslin, Patrik Edén, Morten Krogh BMC Bioinformatics 2004, 5:193 (9 December 2004)

Methodology article   Open Access Highly Accessed

Graph-based iterative Group Analysis enhances microarray interpretation

Rainer Breitling, Anna Amtmann, Pawel Herzyk BMC Bioinformatics 2004, 5:100 (23 July 2004)

Graph-based iterative Group Analysis (GiGA), a graph-based approach to identify biologically relevant changes in expression data, visually enhances microarray interpretation.