Truth table

The project contains the true differential state of each gene and transcript, as well as the simulation details, from simulated RNA-seq data for 12 paired-ended samples (i.e., biological replicates).<br>Column 'gene_ds_status' is 1 for differentially spliced genes, 0 otherwise.<br>Column 'gene_ds_status' is 1 for differentially expressed genes, 0 otherwise.Column 'transcript_ds_status' is 1 for differentially spliced transcripts, 0 otherwise.<br>With differentially splicing, we refer to differential transcript usage (DTU).<br><br>Samples belong to two groups: samples 1 to 6 constitute the first group, while samples 7 to 12 represent the second group.In each group 1,000 genes exhibit differential transcript usage (DTU) and further 1,000 genes (partially overlapping with the previous set) shows differential gene expression (DGE) between groups.<br>Genes showing DTU were simulated by randomly permuting the relative abundance of the four most expressed transcripts; for gene with two or three transcripts only, all transcripts relative abundances were permuted.<br>The dataset is used to benchmark DTU methods in the manuscript entitled "BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty".<br>The code for simulating the data is available on GitHub at https://github.com/SimoneTiberi/BANDITS_manuscript .<br>