Curious about way to start scRNA-seq analysis and machine learning using gene expression data

Question

[woongjaej]

Hi, I'm a researcher studying epigenomics.

I have experience in analyzing various NGS data involved in epigenetics.

But, now I'm interested in studying single-cell RNA-seq data and gene expression machine learning.

Also, I'm more familiar with R, not python. First, let me tell you that I'm planning to step into python for analyzing NGS data.

So, here are some questions for senior bioinformaticians than me :).

1. Could somebody suggest good tutorials (with example data) where I can start studying single-cell RNA-seq data analysis? (It can be based on either R or python.)
2. Could somebody guide me on what to look for when I'm 100% new to machine learning gene expression data? (Maybe well-established tutorials would be nice, too!) (This also can be either R or python)

Any guidance or advice will be very grateful.

Thank you very much!

Answer 1

[ATpoint]

For scRNA-seq behold the holy bible: https://bioconductor.org/books/release/OSCA/

[woongjaej]

Oh, thanks for the advise a lot! I’ll see what I can do with it. :)