Here we release datasets for Saluki, a hybrid deep convolutional and recurrent neural network, whose goal is to predict mRNA half-life from an mRNA sequence. Dataset can be analyzed with our associate
Summary of output for linear model of -1/half-life for 11,800 HeLa mRNAs using indicated variables (formula: -1/Half-life ~ Average CSC + GC3 codon frequency). β estimates indicate predicted effect on
More than 60 prediction methods for intrinsically disordered proteins (IDPs) have been developed over the years, many of which are accessible on the World Wide Web. Nearly, all of these predictors giv