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Found 4 papers, 1 papers with code
Global Mapping of Gene/Protein Interactions in PubMed Abstracts: A Framework and an Experiment with P53 Interactions
In this paper, we propose a comprehensive framework for constructing and analyzing large-scale gene functional networks based on the gene/protein interactions extracted from biomedical literature repositories using text mining tools.
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds
However, the local codes are constrained at discrete and regular positions like grid points, which makes the code positions difficult to be optimized and limits their representation ability.
Global optimization of expensive black-box models based on asynchronous hybrid-criterion with interval reduction
Third, to accelerate the local searching efficiency, searching for a local optimum with sequential quadratic programming (SQP) based on the local surrogate models in the reduced interval, which involves some samples near the current optimum.
Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures
We showed that substantial classification accuracy is gained by using such networks compared to two simpler ones previously proposed for this purpose.
