ONLINE COURSE - Introduction to Single Cell Analysis (ISCA01)

https://www.prstats.org/course/introduction-to-single-cell-analysis-isca01/

2nd - 4th December 2024

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COURSE OVERVIEW -Take your RNA-Seq analysis to the next level with single
cell RNA-Seq. This technology allows insights with an unpredicted level of
detail, but that brings a new level of complexity to the data analysis. In
this course, we will learn about the most popular single cell platforms,
how to plan a scRNA-Seq experiment, deal with some of the many pitfalls
when analysing your data, and effectively gain exciting, and cell type
specific biological insights

By the end of the course participants should:

- Understand the basic principles of popular single cell platforms and
  the pros and cons of the different technologies.
- Be able run standard software to process raw 10x Genomics and Parse
  Bioscience data and interpret the outputs
- Understand how to use the 'Trailmaker' to quickly analyse
  scRNA-Seq data.
- Understand the basics of the R Bioconductor 'Seurat' package, and
  how to combine it with other tools.
- Understand how to perform appropriate data quality control and
  filtering.
- Understand how to cluster cells both within and between samples, and
  identify possible cell types of individual cells and clusters
- Understand how to use statistically robust methods to compare gene
  expression between sample to identify cell type specific changes in
  gene expression and potential pathways of interest.

Please emailoliverhooker@prstatistics.comwith any questions.

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ONLINE COURSE - Introduction to Machine Learning using R and Rstudio
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ONLINE COURSE - Introduction to Single Cell Analysis (ISCA01) This
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-- 

Oliver Hooker PhD.
PR stats

Oliver Hooker <oliverhooker@prstatistics.com>

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