An efficient node-deletion algorithm is introduced to find submatrices in expression data that have low mean squared residue scores and it is shown to perform well in finding co-regulation patterns in yeast and human. This introduces "biclustering", or simultaneous clustering of both genes and conditions, to knowledge discovery from expression data. This approach overcomes some problems associa...

Micro-array data has enabled us to obtain an overview of the cell by measuring the expression levels of thousands of genes simultaneously. It has also opened the possibility for predicting possible cancerous cells accurately. Since these data sets are very large, we need to utilize machine learning techniques to analyse them efficiently. However, micro-array data also poses challenging problems...

background colorectal cancer (crc) is the second most common malignancy in the world.  however, its mortality rate can be reduced if diagnosed early. p33 ing1b is a tumor suppressor protein, which plays a role in growth control and apoptosis. suppression of p33 ing1b is associated with the loss of cellular growth control. however, p33 ing1b expression in crc and its correlations with clinicopat...

We present an interactive web tool for preprocessing microarray gene expression data. It analyses the data, suggests the most appropriate transformations and proceeds with them after user agreement. The normal preprocessing steps include scale transformations, management of missing values, replicate handling, flat pattern filtering and pattern standardization and they are required before perfor...

Various user groups at the University of Leipzig use microarray technology (mainly from Affymetrix Inc.) for gene expression analysis in their research and are producing several hundreds of experiment a year. To manage the large amounts of data resulting from these experiments, a comprehensive database solution is necessary, in particular to store raw microarray data as well as derived data and...

Microarrays are one of the latest breakthroughs in experimental molecular biology, which allow monitoring of gene expression for tens of thousands of genes in parallel and are already producing huge amounts of valuable data. Analysis and handling of such data is becoming one of the major bottlenecks in the utilization of the technology. The raw microarray data are images, which have to be trans...

objective(s): the purpose of this study was to conduct a meta-analysis on human micrornas (mirnas) expression data of endometriosis tissue profiles versus those of normal controls and to identify novel putative diagnostic markers. materials andmethods: pubmed, embase, web of science, ovid medline were used to search for endometriosis mirna expression profiling studies of endometriosis. the mirn...