Abstract
Copyright: © 2014 Dong G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This issue of the International Journal of Biomedical Data Mining presents two contributed articles. The first article, entitled Data Inventory for Cancer Patients Receiving Radiotherapy for Outcome Analysis and Modeling, authored by Jason Vickress, Rob Barnett and Slav Yartsev, describes a database created for storing and analyzing patient specific data related to pre-treatment condition, treatment planning, and treatment outcomes, for patients receiving radiotherapy based cancer treatment. The proposed database can perform automated analysis regarding quality assurance, dose accumulation for multiple treatments on different machines and can assist physicians in choosing the optimal radiation therapy for new patients. The second article, entitled Likelihood Ratio Test of Hardy-Weinberg Equilibrium Using Uncertain Genotypes for Sibship Data, authored by Qiong Li, Helene Massam and Xin Gao, is concerned with the problem of testing for Hardy-Weinberg equilibrium of genotype frequencies in the area of population genetics. This paper develops an Expectation-Maximization algorithm to estimate the genotype frequencies for sibship data with genotype uncertainty, and develops a likelihood ratio test of HardyWeinberg equilibrium for sibships where parental genotypes are not available and where genotyping errors may exist.
Highlights
Guozhu Dong* Data Mining Research Lab, Kno.e.sis Center of Excellence, Department of Computer Science and Engineering Wright State University, USA
The first article, entitled Data Inventory for Cancer Patients Receiving Radiotherapy for Outcome Analysis and Modeling, authored by Jason Vickress, Rob Barnett and Slav Yartsev, describes a database created for storing and analyzing patient specific data related to pre-treatment condition, treatment planning, and treatment outcomes, for patients receiving radiotherapy based cancer treatment
This paper develops an Expectation-Maximization algorithm to estimate the genotype frequencies for sibship data with genotype uncertainty, and develops a likelihood ratio test of Hardy-Weinberg equilibrium for sibships where parental genotypes are not available and where genotyping errors may exist
Summary
Editorial for International Journal of Biomedical Data Mining Guozhu Dong* Data Mining Research Lab, Kno.e.sis Center of Excellence, Department of Computer Science and Engineering Wright State University, USA This issue of the International Journal of Biomedical Data Mining presents two contributed articles.
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