Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods

Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods

Abstract Background We used a hybrid machine learning systems (HMLS) strategy that includes the extensive search for the discovery of the most optimal HMLSs, including feature selection algorithms, a feature extraction algorithm, and classifiers for diagnosing breast cancer. Hence, this study aims t...

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Bibliographic Details
Main Authors: Eskandar Taghizadeh, Sahel Heydarheydari, Alihossein Saberi, Shabnam JafarpoorNesheli, Seyed Masoud Rezaeijo
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Bioinformatics
Subjects:
Breast cancer
Prediction
Transcriptome profiling
Feature selection
Machine learning
Online Access:https://doi.org/10.1186/s12859-022-04965-8

Internet

https://doi.org/10.1186/s12859-022-04965-8

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