Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification

30 May 2021

Papers citing "Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification"

5 / 5 papers shown

Title
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models Chongmin Lee Jihie Kim 56 0 0 14 Jun 2024
A Bio-Medical Snake Optimizer System Driven by Logarithmic Surviving Global Search for Optimizing Feature Selection and its application for Disorder Recognition Ruba Abu Khurma Esraa Alhenawi Malik Braik Fatma A. Hashim Amit Chhabra Pedro A. Castillo 47 3 0 22 Feb 2024
Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction Nazeeh Ghatasheh Ismail Altaharwa Khaled Aldebei 52 27 0 30 Oct 2023
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review F. Alharbi Aleksandar Vakanski 57 109 0 28 Jan 2023
Gene selection from microarray expression data: A Multi-objective PSO with adaptive K-nearest neighborhood Yasamin Kowsari Sanaz Nakhodchi Davoud Gholamiangonabadi 42 1 0 27 May 2022