About FUN-LDA
FUN-LDA is a method based on a Latent Dirichlet Allocation (LDA) model
for predicting functional effects of non-coding genetic variants in a
cell type and tissue specific way by integrating diverse
epigenetic annotations for specific cell types and tissues from large
scale genomics projects such as ENCODE and Roadmap Epigenomics. Using
this unsupervised approach we predict tissue-specific functional effects
for every position in the human genome for 127 tissues and cell types
in ENCODE and Roadmap Epigenomics. BioRxiv preprint is available here.