• 지능정보연구
• /
• 제4권2호
• /
• pp.129-139
• /
• 1998

통계 software에는 data mining에 필요한 다양한 모형과 함수들이 제공되고 있어 이를 이용한 data mining 도구가 소개되고 있다. 본 논문에서는 data mining을 수행하는데 효과적인 환경을 제공하는 S-Plus로 data mining 기법들을 구현하거나 재구성하였으며, StatServer를 이용하여 대용량의 data base를 직접 관리할 수 있게 하고, S-PLUS의 분석기능을 Internet을 통하여 사용할 수 있게 하여 원거리에서 data mining작업을 수행될 수 있도록 구성하였다. 또한 분석자는 찾아낸 모형을 복잡한 프로그래밍 작업 없이 새로운 웹 페이지를 만들 수 있으며, 이를 통해 운영계의 사용자가 최적 모형이 제시하는 결과를 실제 업무에 즉시 이용할 수 있도록 하였다.

• Genomics & Informatics
• /
• 제21권2호
• /
• pp.16.1-16.14
• /
• 2023

Coronavirus disease 2019 (COVID-19) is a viral infection produced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus epidemic, which was declared a global pandemic in March 2020. The World Health Organization has recorded around 43.3 billion cases and 59.4 million casualties to date, posing a severe threat to global health. Severe COVID-19 indicates viral pneumonia caused by the SARS-CoV-2 infections, which can induce fatal consequences, including acute respiratory distress syndrome (ARDS). The purpose of this research is to better understand the COVID-19 and ARDS pathways, as well as to find targeted single nucleotide polymorphism. To accomplish this, we retrieved over 100 patients' samples from the Sequence Read Archive, National Center for Biotechnology Information. These sequences were processed through the Galaxy server next generation sequencing pipeline for variant analysis and then visualized in the Integrative Genomics Viewer, and performed statistical analysis using t-tests and Bonferroni correction, where six major genes were identified as DNAH7, CLUAP1, PPA2, PAPSS1, TLR4, and IFITM3. Furthermore, a complete understanding of the genomes of COVID-19-related ARDS will aid in the early identification and treatment of target proteins. Finally, the discovery of novel therapeutics based on discovered proteins can assist to slow the progression of ARDS and lower fatality rates.