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Knowledge discovery in multiple sequences is very important for a variety of applications such as gene sequence identification, stock prediction, Internet data optimization and so forth. This paper proposes a new method for segmenting multiple sequences to highlight the important periods (or sub-sequences). We have conducted diverse experiments on cancer relevant gene sequences. The results have shown...
The attempt to break the hold that Myriad has on key patents for cancer genes has reopened the debate on who can own rights to biology. At the press conference held to announce success in transplanting a synthetic genome into a living cell, scientist and cofounder of Synthetic Genomics J Craig Venter claimed: 'I have never been quite comfortable claiming patents on discoveries.' Yet Venter's name...
The dNTP supply system genes RRM1, DCTD, TYMS, TK1 and DCK balance dNTP pools to avoid incorrect insertions of bases (i.e. DNA mismatches) and the DNA mismatch repair system genes MLH1 and MSH2 are involved in removing such mismatches. The objective of this study is to explore the possibility of interactions between these two systems, since greater mismatch production rates are expected to be more...
We are developing a new framework for discovery of genes involved in the breast carcinogenesis process. Among families that have a predisposition to breast cancer, approximately 25% have inherited mutations in either breast cancer associated (ldquoBRCArdquo) genes BRCA1 or BRCA2, but the predisposing mutated genes in the majority of the families are unknown. BRCA1 and BRCA2 gene products both regulate...
The problem of marker selection in DNA microarray experiment, due to the "curse of dimensionality", has been mostly addressed so far by linear approaches. Taking into account the fact that the domain of interest is a complex one, where non-linear interconnections and dependencies may also exist among the extremely large number of examined genes, we address the use of nonlinear tools to assess...
Microarrays have been useful in the diagnosis and treatment due to their abilities to survey a large number of genes quickly and to study samples with small amount. With the development of microarray technology, the prospects for effective and reliable disease diagnosis and management can be significantly improved if the classification performance on microarray data is improved. This paper presents...
Recently there is an increasing interest in changing the criterion of tumor classification from morphologic to molecular. In this perspective, the problem can be regarded as a classification problem in machine learning. In this study wavelet analysis is used to extract the features from high dimensional microarray profiles. To make it easier to find the significant genes, we remove the small change...
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