DANCer

DANCer (Deep layer ALS Neural network Classifier) takes RNA-seq data from postmortem ALS cortex tissue samples and classifies them into the three ALS molecular subtypes described in Tam et al 2019. This is achieved by converting variance stabilized transformed (VST) counts data to WGCNA module eigengene values, then running these modules through a trained neural network for ALS subtype assignment. For more details, please refer to the publication in the citation section.

DANCer is designed for bulk RNA-seq datasets, while scDANCer is designed for pseudo-bulk single-cell/single-nuclei RNA-seq datasets.