Presentation Information
[3P-055]Comprehensive Exploration and Visualization of Age-Related Genes Using a Data-Driven Machine Learning Approach
○Hiroki Endo1,2, Tetsuo Ishikawa3,4,5, Motoshi Hayano2 (1. St. Marianna University School of Medicine, 2. Department of Orthopaedic Surgery, Keio University, 3. Department of Extended Intelligence for Medicine, The Ishii-Ishibashi Laboratory, Keio University School of Medicine, Tokyo, Japan, 4. Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Japan, 5. Collective Intelligence Research Laboratory, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan)
Password required to view
Log in
or
Comment
To browse or post comments, you must log in.Log in