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BACKGROUND Multiple genetic factors and their interactive effects are speculated to contribute to complex diseases. Detecting such genetic interactive effects, i.e., epistatic interactions, however, remains a significant challenge in large-scale association studies. RESULTS We have developed a new method, named SNPInterForest, for identifying epistatic(More)
  • Takuya Awata, Hisakuni Yamashita, Susumu Kurihara, Tomoko Morita-Ohkubo, Yumi Miyashita, Shigehiro Katayama +10 others
  • 2015
There are errors in Tables 2 and S2. Please see the corrected tables below. Copyright: © 2015 Awata 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.
MOTIVATION With the rapid advancement of biomedical science and the development of high-throughput analysis methods, the extraction of various types of information from biomedical text has become critical. Since automatic functional annotations of genes are quite useful for interpreting large amounts of high-throughput data efficiently, the demand for(More)
  • Nao Nishida, Hiromi Sawai, Kentaro Matsuura, Masaya Sugiyama, Sang Hoon Ahn, Jun Yong Park +30 others
  • 2012
Hepatitis B virus (HBV) infection can lead to serious liver diseases, including liver cirrhosis (LC) and hepatocellular carcinoma (HCC); however, about 85-90% of infected individuals become inactive carriers with sustained biochemical remission and very low risk of LC or HCC. To identify host genetic factors contributing to HBV clearance, we conducted(More)
BACKGROUND With improvements in genotyping technologies, genome-wide association studies with hundreds of thousands of SNPs allow the identification of candidate genetic loci for multifactorial diseases in different populations. However, genotyping errors caused by genotyping platforms or genotype calling algorithms may lead to inflation of false(More)
BACKGROUND Array-based detection of copy number variations (CNVs) is widely used for identifying disease-specific genetic variations. However, the accuracy of CNV detection is not sufficient and results differ depending on the detection programs used and their parameters. In this study, we evaluated five widely used CNV detection programs, Birdsuite (mainly(More)
The amount of knowledge accumulated in published scientific papers has increased due to the continuing progress being made in scientific research. Since numerous papers have only reported fragments of scientific facts, there are possibilities for discovering new knowledge by connecting these facts. We therefore developed a system called " BioTermNet " to(More)