EPIXplorer integrates 9 robust algorithms to perform the prediction. To facilitate the selection of algorithms, we provide practical guidance from three aspects: By Model Type (BMT), By Input Type (BIT), and By Bio Sample (BBS). BMT divides 9 algorithms into supervised and unsupervised according to the type of prediction model. For the unsupervised algorithms, we recommend PreSTIGE. For the supervised algorithms, the performance of LoopPredictor is the best. BIT characterizes these algorithms by the input they support. If users have both 3D contact and multi-omics data, LoopPredictor can be a good option. If users only have epigenomic data, IM-PET can be chosen. If there is no input file prepared, the server provides “no upload” mode to convenient the usage. BBS classifies all the supported cell lines into 9 major types and lists the available algorithms for each cell line.
Selection Guidance and the corresponding algorithms for each category. The best algorithms are marked with red color.