Machine learning models, and training, validation and test datasets for: "Sequence determinants of human gene regulatory elements"

cc-by-4.0Sahu, BiswajyotiHartonen, TuomoPihlajamaa, PäiviWei, BeiDave, KashyapZhu, FangjieKaasinen, EeviLidschreiber, KatjaLidschreiber, MichaelDaub, Carsten OCramer, PatrickKivioja, TeemuTaipale, Jussi2025-03-242021-07-162021-07-16https://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/10614This record contains the training, test and validation datasets used to train and evaluate the machine learning models in manuscript: Sahu, Biswajyoti, et al. "Sequence determinants of human gene regulatory elements." (2021). This record contains also the final hyperparameter-optimized models for each training dataset/task combination described in the manuscript. The README-files provided with the record describe the datasets and models in more detail. The datasets deposited here are derived from the original raw data (GEO accession: GSE180158) as described in the Methods of the manuscript.OpenGene regulationSTARR-seqDeep learningConvolutional Neural NetworksMachine learningMachine learning models, and training, validation and test datasets for: "Sequence determinants of human gene regulatory elements"dataset