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Advances in large-scale technologies in proteomics, such as yeast two-hybrid screening and mass spectrometry, have made it possible to generate large Protein Interaction Networks (PINs). Recent methods for identifying dense sub-graphs in such networks have been based solely on graph theoretic properties. Therefore, there is a need for an approach that will(More)
BACKGROUND It is of great significance to find better markers to correctly distinguish between high-risk and low-risk breast cancer patients since the majority of breast cancer cases are at present being overtreated. METHODS 46 tumours from node-negative breast cancer patients were studied with gene expression microarrays. A t-test was carried out in(More)
BACKGROUND MicroRNAs (miRNAs) constitute a class of small non-coding RNAs that post-transcriptionally regulate genes involved in several key biological processes and thus are involved in various diseases, including cancer. In this study we aimed to identify a miRNA expression signature that could be used to separate between normal and malignant prostate(More)
|This paper presents a model of coevolution between two variable-size, spatially distributed populations, evolving in an environment with a ow of resources. The two populations have a host-parasite relationship where the host species is dependent on the uptake of resources from the environment for their reproduction. The parasites seek to \infect" host(More)
BACKGROUND Oat is an important crop in North America and northern Europe. In Scandinavia, yields are limited by the fact that oat cannot be used as a winter crop. In order to develop such a crop, more knowledge about mechanisms of cold tolerance in oat is required. RESULTS From an oat cDNA library 9792 single-pass EST sequences were obtained. The library(More)