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Add SingleR to the cheatsheet #671

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merged 5 commits into from Mar 10, 2023

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jashapiro
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Closes #670

Here I added a table for the SingleR functions. I did not yet rebuild the PDF, as that requires either reverting to MacDown or getting instructions from @sjspielman. Also, we might as well get the content done first.

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Let's move this along and I'll take care of next steps....which include the other sad, sad morning thought I've just had: "Wait, how on earth we really seriously also forget about DESEq2?" Who's in charge here?! (it's me, i'm in charge of the cheatsheet) 😭😂😭😭🎢

module-cheatsheets/scRNA-seq-advanced-cheatsheet.md Outdated Show resolved Hide resolved
Comment on lines 74 to 75
| `SingleR` | [`SingleR()`](https://rdrr.io/bioc/SingleR/man/SingleR.html) | Annotate scRNA-seq data | Combines the below "training" and classification functions into a single function to assign cell types to the cells in an SCE object using an annotated reference dataset |
| `SingleR` | [`trainSingleR`](https://rdrr.io/bioc/SingleR/man/trainSingleR.html) | Train the SingleR classifier | Build a `SingleR` classifier model object from an annotated reference dataset |
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"training" vs (no quote) train here, I understand the dilemma but we should pick one flavor


| Library/Package | Piece of Code | What it's called | What it does |
|----------------------|--------------------|---------------------|---------------|
| `SingleR` | [`SingleR()`](https://rdrr.io/bioc/SingleR/man/SingleR.html) | Annotate scRNA-seq data | Combines the below "training" and classification functions into a single function to assign cell types to the cells in an SCE object using an annotated reference dataset |
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Suggested change
| `SingleR` | [`SingleR()`](https://rdrr.io/bioc/SingleR/man/SingleR.html) | Annotate scRNA-seq data | Combines the below "training" and classification functions into a single function to assign cell types to the cells in an SCE object using an annotated reference dataset |
| `SingleR` | [`SingleR()`](https://rdrr.io/bioc/SingleR/man/SingleR.html) | Annotate scRNA-seq data | Combines the below "training" and classification functions into a single function to assign cell types to the cells in an `SCE` object using an annotated reference dataset |

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If the long-ish description makes the PDF render look bad, we could move it to be the last item in the last and change the description to "convenience function to run the previous two functions in one call" or something similarly quick.

jashapiro and others added 2 commits March 10, 2023 09:10
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Changes look good 👍

@jashapiro jashapiro marked this pull request as ready for review March 10, 2023 14:19
@jashapiro jashapiro merged commit 395984e into master Mar 10, 2023
@jashapiro jashapiro deleted the jashapiro/670-singler-into-the-cheatsheet branch March 10, 2023 14:39
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SingleR into the cheatsheet
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