Genome Biology

official impact factor 6.89

Open Access

'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns

Trevor Hastie, Robert Tibshirani*, Michael B Eisen, Ash Alizadeh, Ronald Levy, Louis Staudt, Wing C Chan, David Botstein and Patrick Brown

Genome Biology 2000, 1:research0003-research0003.21 doi:10.1186/gb-2000-1-2-research0003

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BioMed Central: 12 citations

Methodology article   Open Access Highly Accessed

Partition decoupling for multi-gene analysis of gene expression profiling data

Rosemary Braun, Gregory Leibon, Scott Pauls, Daniel Rockmore BMC Bioinformatics 2011, 12:497 (30 December 2011)

Research article   Open Access Highly Accessed

Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family

Sandeep Sanga, Bradley M Broom, Vittorio Cristini, Mary E Edgerton BMC Medical Genomics 2009, 2:59 (11 September 2009)

Research   Open Access

Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data

Dongxiao Zhu BMC Bioinformatics 2009, 10(Suppl 1):S54 (30 January 2009)

Methodology article   Open Access Highly Accessed

Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana

Henning Redestig, Daniel Weicht, Joachim Selbig, Matthew A Hannah BMC Bioinformatics 2007, 8:454 (18 November 2007)

Research article   Open Access Highly Accessed

Measuring similarities between gene expression profiles through new data transformations

Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-Beum Lee, Lewis J Feldman, Haiyan Huang BMC Bioinformatics 2007, 8:29 (27 January 2007)

Research   Open Access

Bayesian profiling of molecular signatures to predict event times

Dabao Zhang, Min Zhang Theoretical Biology and Medical Modelling 2007, 4:3 (19 January 2007)

Methodology article   Open Access

A biological question and a balanced (orthogonal) design: the ingredients to efficiently analyze two-color microarrays with Confirmatory Factor Analysis

Anne PG Crijns, Frans Gerbens, A Edo D Plantinga, Gert Jan Meersma, Steven de Jong, Robert MW Hofstra, Elisabeth GE de Vries, Ate GJ van der Zee, Geertruida H de Bock, Gerard J te Meerman BMC Genomics 2006, 7:232 (12 September 2006)

Software   Open Access

A method for detecting and correcting feature misidentification on expression microarrays

I-Ping Tu, Marci Schaner, Maximilian Diehn, Branimir I Sikic, Patrick O Brown, David Botstein, Michael J Fero BMC Genomics 2004, 5:64 (9 September 2004)

Research article   Open Access

SED, a normalization free method for DNA microarray data analysis

Huajun Wang, Hui Huang BMC Bioinformatics 2004, 5:121 (2 September 2004)

Research article   Open Access

Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect

Michael C O'Neill, Li Song BMC Bioinformatics 2003, 4:13 (10 April 2003)

Research   Open Access Highly Accessed

Supervised clustering of genes

Marcel Dettling, Peter Bühlmann Genome Biology 2002, 3:research0069-research0069.15 (25 November 2002)

We focus on microarray data where experiments monitor gene expression in different tissues and where each experiment is equipped with an additional response variable such as a cancer type. A new method is presented for finding groups of genes by directly incorporating the response variables into the grouping process, yielding a supervised clustering algorithm for genes.

Research   Open Access Highly Accessed

Permutation-validated principal components analysis of microarray data

Jobst Landgrebe, Wolfgang Wurst, Gerhard Welzl Genome Biology 2002, 3:research0019-research0019.11 (22 March 2002)

A method to assess reliability in multivariate microarray data analysis using permutation-validated principal components analysis has been used to extract the leading sources of variance from microarray data, to visualize relationships between genes and hybridizations and to select informative genes in a statistically reliable manner.