-
### Benefits to the change
This would allow users to use Nilearn with ICA-AROMA or tedana confounds. In `nilearn.interfaces.fmriprep.load_confounds`, users could use AROMA regressors without havi…
tsalo updated
1 month ago
-
One topic that isn't touched upon is confounding variables. I've use models selection on them in the past, because I don't really care about them, but some might be important and dropping minor confou…
-
* https://en.wikipedia.org/wiki/Confounding
* https://www.statisticshowto.datasciencecentral.com/experimental-design/confounding-variable/
Consider these in the context of these plots (from 9f976f…
-
Hi, I'm interested in using the using the microbiome to predict disease outcomes, and I need to adjust for confounders (e.g. race/ethnicity). I understand that phyloseq/DESeq2 fits the following model…
-
Hi,
I want to activate the "confounding" option in the CGNN algorithm, but I don't know how to enable this option. I noticed that the only place to set `confounding=True` is within the "CGNN_model"…
-
Do you think the closeness among people in the villages and the cultural atmosphere matter? Do you think whether the diversity of information transmission will affect the results?
-
-
We are trying to use your tool to detect eQTLs in single-cell data, where we have done initial eQTL mapping across different conditions.
In our dataset these conditions are different stimulation cond…
-
Hi, thank you for developing this great tool. I am currently working with human data and there are several covariates that might affect the splicing results, also tissue quality and degradation shows …
-
for example, determine a reasonable number of comp_cors and remove motion_outlier.