NGS و بیوانفورماتیک

Cell-to-Cell Communication Analysis with scRNA-seq Data

A focused two-session course on discovering communication patterns between cell populations using single-cell RNA-seq data.

Milad Eidi 2 lessons
Cell-to-Cell Communication Analysis with scRNA-seq Data
579,000 Toman

30-Day Money-Back Guarantee

What You'll Learn

  • Understand the purpose of cell-to-cell communication analysis in scRNA-seq
  • Follow a data-processing and analysis workflow for cellular interactions
  • Recognize communication patterns in the course examples

About This Course

After identifying cell populations in single-cell data, a natural next question is how those populations communicate. This two-session mini-course introduces the concepts and analysis pathway used to investigate cell-to-cell communication with scRNA-seq data.

The course focuses on processing and analyzing data to study cellular interactions. It pairs naturally with the Single-cell RNA-seq course; if you are new to R, begin with the introductory R course first.

Two focused sessions

  • Concepts and data requirementsUnderstand the purpose of cell-communication analysis and the role of scRNA-seq data.
  • Analysis workflowFollow the processing steps and examine patterns of interaction between cell populations.

Who is this course for?

  • Researchers and students ready to explore interactions after completing a single-cell analysis.
  • Analysts working with scRNA-seq data who want focused training in this topic.

Recommended preparation

  • Familiarity with single-cell analysis concepts and scRNA-seq data structures is recommended.
  • Basic R knowledge will help you follow the analysis workflow.

Curriculum 1 sections

  • جلسه اول Cell-to-Cell Communication
  • جلسه دوم Cell-to-Cell Communication

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Instructor
Milad Eidi
Milad Eidi
Bioinformatics Expert

Experienced instructor in bioinformatics and computational biology.

Course Details
  • 1 sections
  • 2 lessons
  • Full lifetime access