• Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Biomedical Research
  • Keywords: Analysis of Spatial Single-Cell, Biomedical Science, Clustering Algorithms, Shiny for Python, Software Engineering, Visualizations
  • Tools: Command Line, GitHub, Python, R, VS Code
  • Citizenship: Open to all students
Summary

To accelerate the pace of delivering tools to analyze spatial single-cell datasets by leveraging the contributions of students and to contribute to the advancement of scientific knowledge and understanding in the field of single-cell biology and spatial analysis.

Description

PROJECT RECOMMENDED for Computer Science / Data Science majors with coding experience. Software Engineering experience a plus!! PROJECT DESCRIPTION: Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'FNL' in the Note section, and select the appropriate CRN.