The efficient scheme for enhancing the performance of the MVDR beamforming for DS/CDMA systems is proposed. The main focus of the proposed scheme is to enhance the practical estimation of an array response vector for ...
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Correct classification and prediction of tumor cells is essential for successful diagnosis and reliable future treatment. However, it is very challenging to distinguish between tumor classes using microarray with thou...
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Protein sequence comparison is the most powerful tool for the identification of novel protein structure and function. This type of inference is commonly based on the similar sequence-similar structure-similar function...
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In this paper, we propose a novel blind adaptive multiuser detector using the recursive least squares (RLS) algorithm based on singular value decomposition (SVD) for code division multiple access systems. The new pres...
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Whole genome duplication (WGD) is followed by massive duplicate deletion that reorganizes gene adjacencies. We compare the deletion patterns and adjacency reorganization following WGD in yeast with simulations. We fin...
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Whole genome duplication (WGD) is followed by massive duplicate deletion that reorganizes gene adjacencies. We compare the deletion patterns and adjacency reorganization following WGD in yeast with simulations. We find that deletion events alternate between paralogous chromosomes more often than expected under a random duplicate deletion model.
The use of computer tools and technologies is unavoidable when it comes to conducting mass spectrometry (MS) research at any significant level. This is mainly due to the large volume of MS data and the processing rate...
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The use of computer tools and technologies is unavoidable when it comes to conducting mass spectrometry (MS) research at any significant level. This is mainly due to the large volume of MS data and the processing rates required. Most of the existing tools focus on one particular task: be it storing and maintaining the data or visualizing the dataset to draw inferences from the data. But for the researcher the problem of manually retrieving a large dataset from a datasource and customizing it for a particular visualization application is a daunting task in itself. This paper describes the computational Cell Environment (CCE) which is a problem-solving environment for systems biology that provides uniform and integrated access to distributed, heterogeneous biological data sources and analysis applications, through a multi-tiered architecture. This paper also illustrates the necessity for such a tool by discussing its usage in proteomics research being performed on the diseased and normal states of Deinococcus Radiodurans along with corresponding curated data collected from community resources.
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