A5100451566- Glycosylation and Glycoproteins Research
- Infant Nutrition and Health
- Genomic variations and chromosomal abnormalities
- Forensic and Genetic Research
- Monoclonal and Polyclonal Antibodies Research
- Sleep and related disorders
- Animal Genetics and Reproduction
- Genomics and Rare Diseases
- MicroRNA in disease regulation
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Cancer-related molecular mechanisms research
- Obesity, Physical Activity, Diet
- Sleep and Wakefulness Research
- Genetic and phenotypic traits in livestock
- Cancer Genomics and Diagnostics
- Nutrition, Genetics, and Disease
Fisher College
2023
Ajou University
2019
Chungnam National University
2014
Hankuk University of Foreign Studies
2011
Don Buddika Oshadi Malaweera, Sisitha Ramachandra, Jun-Bo Wu, Seung-Kyu Oh, Seung-Hwan Kim, Seok-Joong Sang-Tae Shin, and Jong-Ki Cho. Journal of Embryo Transfer 2014;29:59-66. https://doi.org/10.12750/JET.2014.29.1.59
Abstract Ontology-based approaches have been utilized for identifying cancer genes. However, among the thousands of mutations in pediatric genes, accurate prediction driver genes is one biggest challenges. A binary logistic regression model was developed to distinguish and non-pediatric To build predictive model, Gene Ontology (GO) enrichment analysis performed, followed by PANTHER overrepresentation test, using GO-slim, PANTHER, Reactome pathways, three sets specific variables, lists found...