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Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods
Published 2025-01-01“…The proposed computational approach offers a streamlined and economical alternative to traditional experimental methods, expediting the discovery of new ACPs and enhancing the accuracy of anticancer peptide predictions. The relevant models, codes, and results are also available on the authors github page at (<uri>https://github.com/mhdshl/ACP-Seq2Seq</uri>).…”
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Explainable Predictive Factors for Inter-Agency Partnership Success
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Qualia as query act, the phenomenology of predictive error coding
Published 2025-04-01Get full text
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Application of HHO-CNN-LSTM-based CMAQ correction model in air quality forecasting in Shanghai
Published 2023-12-01Get full text
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Predicting Flood Inundation after a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network
Published 2024-09-01Get full text
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