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################################################################################################### Some code and resources of the CASAVA paper.Resources are listed below. For any problem concerning the data and the code, please contact [email protected]. 1) Official release of CASAVA score: https://github.com/zhanglabtools/CASAVA/releases. 2) CASAVA web application: http://zhanglabtools.org/CASAVA. 3) Training-testing sets, trained models, predictions and raw evaluation results can be downloaded from Zenodo: https://zenodo.org/record/4365899#.X-cB6tgzaUk 4) Training, testing sets, trained models, predictions can be also downloaded from Baidu Cloud: https://pan.baidu.com/s/1loDDBiLg6youoTkfS_AlCg passwork:on5p 5) The main scripts used in our experiments with detailed doucuments. https://github.com/zhanglabtools/CASAVA CASAVA_library.R contains the commonly used functions. train_CASAVA_script.R is used to train CASAVA models. train_TrCASAVA_script.R is used to train disease-specific and TrCASAVA models. train_Zeroshot_script.R is used to train CASAVA models in the scenario of no disease-specific training data available. For some other scripts in development, please do not use them unless necessary.