Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
By Thomas Abeel, Thibault Helleputte, Y. Van de Peer, P. Dupont, Yvan Saeys. Bioinform., 2010
597 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/b9747a2635d6b1b0f57a274ec5ee3166de93b2ca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Ferat Sahin
- Girish Chandrashekar
- Huan Liu
- Zengyou He
- Y. H. Yang
- Jean-Philippe Vert
- Jiliang Tang
- Pengyi Yang
Citations in the corpus
- A survey on feature selection methods (2014, methodology): “Ensemble feature selection [68,69] is a relatively new technique used to obtain a stable feature subset.”
- The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures (2011, methodology): “selection method is run on several random subsamples of the training data, and the different lists of variables selected are merged into a hopefully more stable subset (Bi et al., 2003; Meinshausen and Bühlmann, 2010; Abeel et al., 2010).”
- A Review of Ensemble Methods in Bioinformatics (2010, background): “[109] studied the ensemble of filters in a bootstrap framework.”
- Recent advances in feature selection and its applications (2017, methodology): “For example, in [29], an ensemble feature selection method is adopted to identify biomarker for cancer diagnosis.”
- Applications of Support Vector Machine (SVM) Learning in Cancer Genomics. (2018, methodology): “In the wrapper methods, the gene selection and classifier modeling occur at the same time (38, 39).”
- Feature Selection (2016, methodology): “Most of the existing methods employ a simple yet effective linear aggregation function (Saeys et al. 2008; Abeel et al. 2010; Yang and Mao 2011).”
- Ensemble deep learning in bioinformatics (2020, methodology): “The stability and reproducibility offered by ensemble methods such as in feature selection 104 are also making a substantial impact in biomarker discovery 105 .”
- Stable Feature Selection for Biomarker Discovery (2010, methodology): “The superiority of such strategy has been verified both experimentally [24, 27] and theoretically [25, 26].”