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Previous studies on computational gene functional prediction have not fully exploited the taxonomy structure of Gene Ontology (GO). They just select a few classes from GO into a set, and conduct classwise learning of these classes. The pre-selection of learning classes, often done according to the annotation sizes, limits the prediction breadth and depth. This way of pre-selecting learning classes...
The challenge of microarray analysis is to unveil the biological mechanisms behind the chip data. Due to the sometimes counteracting influences of de novo transcription, RNA processing and degradation, the discovery of any particular mechanism is difficult. Therefore, a combination of data- and knowledge-driven analysis appears to be the best way to attack the problem. We analyzed human astrocytes...
Recent improvements in high-throughput proteomic technologies have unleashed the potential for generating vast amounts of data. Managing and sharing proteomic data is not an easy task. In this article, we will discuss some of the high-throughput proteomic techniques that are commonly used today. We will also review the major issues in sharing and dissemination of proteomic data and the recent community...
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