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

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

Xiongshi Deng
Min Li
Shaobo Deng
Lei Wang
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Papers citing "Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification"

3 / 3 papers shown
Title
Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining
Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining
Ryan J. Urbanowicz
Randal S. Olson
Peter Schmitt
Melissa Meeker
J. Moore
36
214
0
22 Nov 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
802
38,961
0
09 Mar 2016
Feature Selection: A Data Perspective
Feature Selection: A Data Perspective
Jundong Li
Kewei Cheng
Suhang Wang
Fred Morstatter
Robert P. Trevino
Jiliang Tang
Huan Liu
63
813
0
29 Jan 2016