main webpage W Topic Generalization bioRxiv (Cold Spring Harbor Laboratory) Protein-protein interaction prediction via structure-based deep learning 2023 Abstract Protein-protein interactions (PPIs) play an essential role in life activities. Many machine learning algorithms based on protein sequence information have been developed to predict PPIs. However, these models have difficulty dealing with various sequ… Article Open Generalization Open Article Page

Generalization

Form of abstraction A generalization is a form of abstraction whereby common properties of specific instances are formulated as general concepts or claims. Generalizations posit the existence of a domain or set of elements, as well as one or more common characteristics shared by those elements (thus creating a conceptual model). As such, they are the essential basis of all valid deductive inferences (particularly in logic, mathematics and science), where the process of verification is necessary to determine whether a generalization holds true for any given situation. Generalization can also be used to refer to the process of identifying the parts of a whole, as belonging to the whole. Critical Symbolic Virtual Narrative Open Generalization Open Article Page

Exploring foci of: bioRxiv (Cold Spring Harbor Laboratory) Protein-protein interaction prediction via structure-based deep learning 2023 Abstract Protein-protein interactions (PPIs) play an essential role in life activities. Many machine learning algorithms based on protein sequence information have been developed to predict PPIs. However, these models have difficulty dealing with various sequence lengths and suffer from low generalization and prediction accuracy. In this study, we proposed a novel end-to-end deep learning framework, RSPPI, combining Residual Neural Network (ResNet) and Spatial Pyramid Pooling (SPP), to predict PPIs based on the pr… Open Article Page

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Explore Generalization W Topic Generalization bioRxiv (Cold Spring Harbor Laboratory) Protein-protein interaction prediction via structure-based deep learning 2023 Abstract Protein-protein interactions (PPIs) play an essential role in life activities. Many machine learning algorithms based on protein sequence information have been developed to predict PPIs. However, these models have difficulty dealing with various sequ… Article Critical Symbolic Virtual Narrative Open Generalization Open Article Page