This paper presents an improved ensemble learning method-Adaboost with SMOTE method to deal with the imbalanced data and predict protein hot spots in the latest ...
An improved ensemble learning method-Adaboost with SMOTE method to deal with the imbalanced data and predict protein hot spots in the latest database SKEMPI ...
Mar 7, 2022 · In this work, we propose an effective method called SREPRHot (a SMOTE and Random Grouping strategies-based Ensemble learning model for Protein– ...
Aug 7, 2024 · We introduce PPI-hotspot ID, a novel method for identifying PPI-hot spots using the free protein structure, and validated it on the largest collection of ...
To achieve better property based on structural features, Huang [9] designed an assembly learning method that combines SMOTE with data imbalance to predict hot ...
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What is a protein hotspot?
Oct 25, 2021 · An approach based on a new clustering algorithm called Local Community Structure Detecting (LCSD) to identify the hot regions was proposed by ...
Oct 4, 2018 · An improved ensemble learning method with SMOTE for protein interaction hot spots prediction; Proceedings of the IEEE International ...
Mar 7, 2022 · In this work, we propose an effective method called SREPRHot (a SMOTE and Random Grouping strategies-based Ensemble learn- ing model for ...
Dec 31, 2018 · This paper proposed an ensemble learning method to predict hot spot residues that only uses sequence features and the relative accessible surface area of amino ...
Missing: SMOTE | Show results with:SMOTE
This paper proposes a two-step ensemble model for identifying hot spot residues from extremely unbalanced data set, composed of 134 classifiers constructed ...