A5039908934- Computational Drug Discovery Methods
- Health, Environment, Cognitive Aging
- Nutritional Studies and Diet
- Bioinformatics and Genomic Networks
- Cell Image Analysis Techniques
- Machine Learning in Materials Science
- Social Capital and Networks
- Neuropeptides and Animal Physiology
- RNA and protein synthesis mechanisms
- Heavy metals in environment
- Statistical Methods and Inference
- Bone health and osteoporosis research
- Genetics, Bioinformatics, and Biomedical Research
- Qualitative Comparative Analysis Research
- Metabolomics and Mass Spectrometry Studies
- Protein Structure and Dynamics
- Simulation Techniques and Applications
- Receptor Mechanisms and Signaling
- Birth, Development, and Health
Korea University
2023
Ewha Womans University
2021-2022
Dartmouth College
2017-2022
Dartmouth Hospital
2022
There have been numerous advances in the development of computational and statistical methods applications big data artificial intelligence (AI) techniques for computer-aided drug design (CADD). Drug is a costly laborious process considering biological complexity diseases. To effectively efficiently develop new drug, CADD can be used to apply cutting-edge various limitations field. Data pre-processing approaches, which clean raw consistent reproducible AI are introduced. We include current...
We developed an R package for generating and designing data representing a network with hubs. This can build simulated based on Gaussian graphical model optionally assign numerical weights selected feature columns hubs in the network. Users design structure of matrix using precision matrix. The generated be used its application to estimation interactions features data.