FLIGHTED: Inferring Fitness Landscapes from Noisy High-Throughput Experimental Data

Data for FLIGHTED (Inferring Fitness Landscapes from Noisy High-Throughput Experimental Data). The data is arranged in the following folders: DHARMA_Input: contains the input for the DHARMA models, with the canvas sequence, the DHARMA reads, and the FACS data. DHARMA_Models: contains the weights, hyperparameters, and model training history for the FLIGHTED-DHARMA model. Fitness_Landscapes: the GB1 landscape, with and without FLIGHTED, as well as splits published by FLIP. Landscape_Models: models trained on the GB1 landscape with and without FLIGHTED under the various FLIP splits. Each model folder contains hyperparameters, training history, and predictions on the test set which can be used to evaluate model performance. FLIGHTED_Selection: contains the weights, hyperparameters, and model training history for the FLIGHTED-Selection model. Selection_Simulations: contains the simulated training data for the FLIGHTED-Selection model.