An improved efficient rotation forest algorithm to predict the interactions among proteins
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2582-y
Abstract: Protein–protein interactions (PPIs) are the basis to interpret biological mechanisms of life activity, and play vital roles in the execution of various cellular processes. The development of computer technology provides a new way for the… read more here.
Keywords: forest algorithm; predict interactions; rotation forest; rotation ... See more keywords
A cost-sensitive rotation forest algorithm for gene expression data classification
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DOI: 10.1016/j.neucom.2016.09.077
Abstract: Existing works show that the rotation forest algorithm has competitive performance in terms of classification accuracy for gene expression data. However, most existing works only focus on the classification accuracy and neglect the classification costs.… read more here.
Keywords: forest algorithm; classification; rotation forest; rotation ... See more keywords
Diagnosis of Neuromuscular Disorders Using DT-CWT and Rotation Forest Ensemble Classifier
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DOI: 10.1109/tim.2019.2918596
Abstract: Electromyographic (EMG) signals are utilized to analyze the neuromuscular disorders. Machine learning algorithms have been employed as a decision support system to detect neuromuscular disorders. EMG signals contain noise from different sources, such as electrical… read more here.
Keywords: emg signals; forest ensemble; neuromuscular disorders; rotation forest ... See more keywords
Embedding Undersampling Rotation Forest for Imbalanced Problem
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DOI: 10.1155/2018/6798042
Abstract: Rotation Forest is an ensemble learning approach achieving better performance comparing to Bagging and Boosting through building accurate and diverse classifiers using rotated feature space. However, like other conventional classifiers, Rotation Forest does not work… read more here.
Keywords: undersampling rotation; class; rotation forest; embedding undersampling ... See more keywords
Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences
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DOI: 10.1186/s12864-019-6304-y
Abstract: There are two significant problems associated with predicting protein-protein interactions using the sequences of amino acids. The first problem is representing each sequence as a feature vector, and the second is designing a model that… read more here.
Keywords: feature; protein interactions; predicting protein; rotation forest ... See more keywords