BMC Bioinformatics

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A comparative review of estimates of the proportion unchanged genes and the false discovery rate

Per Broberg

BMC Bioinformatics 2005, 6:199 doi:10.1186/1471-2105-6-199

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BioMed Central: 7 citations

Methodology article   Open Access Highly Accessed

A new multitest correction (SGoF) that increases its statistical power when increasing the number of tests

Antonio Carvajal-Rodríguez, Jacobo de Uña-Alvarez, Emilio Rolán-Alvarez BMC Bioinformatics 2009, 10:209 (8 July 2009)

Research article   Open Access Highly Accessed

Filtering for increased power for microarray data analysis

Amber J Hackstadt, Ann M Hess BMC Bioinformatics 2009, 10:11 (8 January 2009)

Methodology article   Open Access Highly Accessed

A unified approach to false discovery rate estimation

Korbinian Strimmer BMC Bioinformatics 2008, 9:303 (9 July 2008)

A generalized algorithm that simultaneously estimates both local false discovery rates and tail area-based FDR gives a common framework to apply a range of test statistics to high-dimensional data.

Methodology article   Open Access

A constrained polynomial regression procedure for estimating the local False Discovery Rate

Cyril Dalmasso, Avner Bar-Hen, Philippe Broët BMC Bioinformatics 2007, 8:229 (29 June 2007)

Research   Open Access

Mixture modeling of transcript abundance classes in natural populations

Wen-Ping Hsieh, Gisele Passador-Gurgel, Eric A Stone, Greg Gibson Genome Biology 2007, 8:R98 (4 June 2007)

Expression profiling of Drosophila melanogaster adult female heads for 108 nearly isogenic lines from two different populations, and of CEPH lymphoblastoid lines, shows that differential expression of transcripts among individuals is due to a complex interplay of cis- and trans-acting factors.

Methodology article   Open Access

Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures

Xin Lu, David L Perkins BMC Bioinformatics 2007, 8:157 (18 May 2007)

Research article   Open Access

An improved procedure for gene selection from microarray experiments using false discovery rate criterion

James J Yang, Mark CK Yang BMC Bioinformatics 2006, 7:15 (11 January 2006)