Non-SOT Event: Single Cell Analysis Boot Camp: Systems Biology Methods for Analysis of Single Cell R

The Single Cell and Spatial Analysis Boot Camp is a three-day intensive training of seminars and hands-on analytical sessions to launch students on a path towards mastery of scRNASeq data analysis methods used in health studies.

By the end of the workshop, participants will be familiar with the following topics:
- Gene Expression Analysis of scRNA data (pre-processing, quality control, filtering, normalization)
- Cluster Analysis
- Cell Type Identification
- Regulatory Network Analysis
- Master Regulator Analysis
- Sequencing- and Imaging-based Spatial Transcriptomics technologies
- Spatial data analysis and integration with scRNASeq data
- Analysis of spatially resolved cell states and microenvironmental interactions

Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.

Prerequisites and Requirements: There are a few requirements to attend this training:
- Each participant must have an introductory background in statistics.
- Each participant must be familiar with basic R & Python.
- Each participant must have a free, basic RStudio Cloud account prior to the first day of the workshop for lab sessions.
- (Extra) Each participant will benefit from having a free basic Google/Gmail account to access Google Colab for additional material.

Capacity is limited. Paid registration is required to attend.

Additional Information:
- See website for more details: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/trainings/single-cell-analysis
- Email us with any questions: Columbia.scRNASeq@gmail.com