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This article presents the design of a sequence-based predictor aiming to identify the RNA-binding residues in a RNA-binding protein by combining machine learning and pattern mining approaches.
To tackle that, we bring human's business experience to potential expert prediction by combining machine learning and visual analytics.
This book explores how novel interactive systems can be used to overcome various challenges and limitations previously encountered by human beings by combining machine learning algorithms and the analysis of recent trends.
Jungla– Jungla claims to be the world's best predictor for variants of unknown significance in the genome, starting with cancers by combining machine learning with proprietary protein function maps.
Jungla– Jungla claims to be the world's best predictor for variants of unknown significance in the genome, starting with cancers by combining machine learning with proprietary protein function maps.
Some systems (e.g. [54]) also tried to create an ensemble system by combining machine learning, dictionary-based approaches and regular expressions, but obtained lower F-scores than our ensemble system.
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This approach combines machine learning from examples with concepts from the field of argumentation.
Nuru combines machine learning and artificial intelligence.
We have developed a method that combines machine learning and image processing.
The MemBrain-Contact prediction module is constructed by combining statistical machine learning algorithms and biological residue coevolution analysis from multiple sequence alignments as shown in Fig. 4 [7].
Apart from identifying new pathway deregulation patterns, the tool exploits these patterns by combining different machine learning methods to find clusters of similar samples and build sample classification models.
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