Advanced Workshop: Single-Cell RNA-Seq Analysis - 4-Day Live Course
https://www.prstats.org/course/single-cell-rna-seq-analysis-scrn01/
Dive deep into the world of single-cell transcriptomics with Single-Cell
RNA-Seq Analysis (SCRN01), a 4-day live online course made for researchers
who want to go beyond bulk RNA and unlock cell-level insights.

What you'll learn:

Fundamentals of single-cell RNA-Seq: experimental design, quality control,
normalization, batch effects, and best practices.

Hands-on processing of single-cell data using tools like Seurat / Scanpy:
filtering, clustering, trajectory inference, dimensionality reduction.

Visualization and interpretation of single-cell data: marker discovery,
differential expression, heatmaps, UMAP, t-SNE.

Strategies for tackling challenges: dropouts, sparsity, integration of
multiple samples, cell type annotation.

Access to course materials (datasets, code, slides), along with follow-up
support to apply the tools to your own data.

Course structure & schedule:

Live online over four days, with interactive lectures and practical
sessions.

Recorded sessions so you can revisit lessons and catch up.

Who should attend:

Researchers, data analysts, and bioinformaticians working with single-cell
RNA-Seq or planning to.

Those familiar with R or Linux basics, and comfortable with the command
line.

Cost & early bird:

Standard fee: 350

Early bird: 325 (first five places)

Email
oliver@prstats.org with any questions.

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Oliver Hooker PhD.

PR stats

Oliver Hooker <oliverhooker@prstatistics.com>

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