omnideconv / SimBu

Simulate pseudo-bulk RNAseq samples from scRNAseq expression data
http://omnideconv.org/SimBu/
GNU General Public License v3.0
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Manuscript Figure1 #22

Closed alex-d13 closed 2 years ago

alex-d13 commented 2 years ago

Updated version of the overview figure. I added panel a as a figure to show how and why SimBu is used. SimBu CellSampling drawio(3)

Let me know what can be changed :)

mlist commented 2 years ago

That's close to what I had in mind. I think we only need to emphasize that with SimBu we have a gold standard, maybe like this:

image

alex-d13 commented 2 years ago

SimBu CellSampling drawio

Taking a final round of feedback on this one :)

alex-d13 commented 2 years ago

image

Decided to add the n_cells parameter to panel b and add small headers to the panels

FFinotello commented 2 years ago

Very nice, Alex! You could maybe try to have a bit lighter colors for the cells and limit font types and sizes wherever possible.

Maybe @federicomarini has some ideas here?

federicomarini commented 2 years ago

Color-wise: I like the pastel palette above, or even better something with the spectral palette - there's this nice tool online for grabbing hex codes if you want: https://loading.io/color/feature/Spectral-10/ (https://loading.io/color/feature/ if you want less levels, and equally spaced).

"Pseudo-bulk" vs "pseudo bulk", should be homogeneous (also check in the manuscript how you use it?) - I actually think I have seen it most time as "pseudobulk"; the OSCA book (series) has it as "pseudo-bulk".

In section c, the x axis is a little too small maybe?

A note on the scaling factors: Is it meaningful to have them as integer numbers? I am asking because I am used to see them as ~1, at least in the context of size factors e.g. when normalizing with DESeq2

The "Deconvolution" label is a little bit too much on the left? Say, one whitespace away from the middle?

In the label of (a), there's a missing a in simulate

alex-d13 commented 2 years ago

Updated colors and typos :)

I think having the scaling values as integers helps to show the point that we try to estimate the total mRNA levels in the cells; when using the number of expressed genes as scaling factor, this is also an integer for example.

image

mlist commented 2 years ago

I really like the latest one, good work.