MOFA2
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Questions about using MOFA with bulk RNA-seq deconvolution results and uneven view sizes
First of all, thank you for creating such an excellent R package. We've encountered several questions while using it:
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Are there any potential issues with using genes obtained from bulk RNA-seq deconvolution (such as BayesPrism )as input for MOFA?
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Is it possible to input views with different numbers of features into MOFA? For example, if one view has 1000 features while another has 500 features.
We appreciate any insights or guidance you can provide on these matters. Thank you for your time and support!