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Comparison of Machine Learning Algorithms for Identifying Cancer Types
Poster for the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Annual Conference. This poster discusses a comparison of machine learning algorithms for identifying cancer types.
Numerical Calculation of Singularities for Ginzburg-Landau Functionals
This article gives results of numerical calculations of asymptotic behavior of critical points of a Ginzburg-Landau functional.
TS: A powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data
This article proposes a new truncated statistic method (TS) by utilizing a truncated method to find the genes that have a true contribution to the genetic association. The proposed truncated statistic outperforms existing methods. It can be employed to detect novel traits associated genes using GWAS summary data.
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