BMCBI
2008
14 years 2 months ago
2008
Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in par...
BMCBI
2010
14 years 2 months ago
2010
Background: Identification of transcription factors (TFs) involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms...
BMCBI
2008
14 years 2 months ago
2008
Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
BMCBI
2007
14 years 2 months ago
2007
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
BMCBI
2008
14 years 2 months ago
2008
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
BMCBI
2007
14 years 2 months ago
2007
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
BMCBI
2008
14 years 2 months ago
2008
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
BMCBI
2008
14 years 2 months ago
2008
Background: Though microarray experiments are very popular in life science research, managing and analyzing microarray data are still challenging tasks for many biologists. Most m...
BMCBI
2007
14 years 2 months ago
2007
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
BMCBI
2008
14 years 2 months ago
2008
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...