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Machine Learning
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…
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Machine Learning

Study of algorithms that improve automatically through experience

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance.

ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics.

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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…
Click Machine Learning Vs:
Artificial Intelligence
Computer Science
Deep Learning
Protein Structure Prediction
Generalization
Protein Sequencing
Support Vector Machine
Data Mining
Algorithm
Click Machine Learning Vs:
Mathematics
Biology
Mathematical Analysis
Philosophy
Geometry
Biochemistry