by Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou
Drug-induced toxicity damages the health and is one of the key factors causing drug withdrawal from the market. It is of great significance to identify drug-induced target-organ toxicity, especially the detailed pathological findings, which are crucial for toxicity assessment, in the early stage of drug development process. A large variety of studies have devoted to identify drug toxicity. However, most of them are limited to single organ or only binary toxicity. Here we proposed a novel multi-label learning model named Att-RethinkNet, for predicting drug-induced pathological findings targeted on liver and kidney based on toxicogenomics data. The Att-RethinkNet is equipped with a memory structure and can effectively use the label association information. Besides, attention mechanism is embedded to focus on the important features and obtain better feature presentation. Our Att-RethinkNet is applicable in multiple organs and takes account the compound type, dose, and administration time, so it is more comprehensive and generalized. And more importantly, it predicts multiple pathological findings at the same time, instead of predicting each pathology separately as the previous model did. To demonstrate the effectiveness of the proposed model, we compared the proposed method with a series of state-of-the-arts methods. Our model shows competitive performance and can predict potential hepatotoxicity and nephrotoxicity in a more accurate and reliable way. The implementation of the proposed method is available at https://github.com/RanSuLab/Drug-Toxicity-Prediction-MultiLabel.
Краткая биографическая справка о центральных персонажах Mafia: The Old Country
Microsoft warns of 'active attacks' on its government and business server tech, with one cybersecurity expert claiming that they should 'assume that you have been compromised'
Brütal Legend is free in honor of Ozzy Osbourne, but only for 666 minutes
На слет Всемирного фестиваля молодежи подали более 62 тыс. заявок из 175 стран
В.В. ПУТИН И Д.А. МЕДВЕДЕВ МОГУТ ПОМОЧЬ ЗНАЧИТЕЛЬНО ДОПОЛНИТЕЛЬНО СДЕРЖИВАТЬ НАТО. СЕНСАЦИЯ! Россия, США, Европа могут улучшить отношения и здоровье общества!
Томскую организацию уличили в покупке оборудования для БПЛА по завышенной цене