Tools like Tangram or gimVI can utilize scRNA-seq data to predict and impute spatial data, but they seem to be unable to denoise contaminated data. Therefore, I am considering using Tangram in conjunction with SEDR. May I ask whether I should apply SEDR for denoising first or use Tangram to integrate scRNA-seq data to enhance the spatial transcriptome expression matrix first?
Hello SEDR author!
Tools like Tangram or gimVI can utilize scRNA-seq data to predict and impute spatial data, but they seem to be unable to denoise contaminated data. Therefore, I am considering using Tangram in conjunction with SEDR. May I ask whether I should apply SEDR for denoising first or use Tangram to integrate scRNA-seq data to enhance the spatial transcriptome expression matrix first?
Thank you for any assistance!