Ensemble methods of rank-based trees for single sample classification with gene expression profiles

Ensemble methods of rank-based trees for single sample classification with gene expression profiles

Abstract Building Single Sample Predictors (SSPs) from gene expression profiles presents challenges, notably due to the lack of calibration across diverse gene expression measurement technologies. However, recent research indicates the viability of classifying phenotypes based on the order of expres...

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Bibliographic Details
Main Authors: Min Lu, Ruijie Yin, X. Steven Chen
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Journal of Translational Medicine
Subjects:
Single sample predictor
Decision tree
Rank discriminant
Ensemble learning
Boosting
Random forest
Online Access:https://doi.org/10.1186/s12967-024-04940-2

Internet

https://doi.org/10.1186/s12967-024-04940-2

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