A feature selection strategy for gene expression time series experiments with hidden Markov models
Roberto A. Cárdenas-Ovando, Edith Araceli Fernández-Figueroa, Héctor A. Rueda-Zárate, Julieta Noguez, Claudia Rangel‐Escareño
This paper introduces a feature selection method using hidden Markov models for gene expression time series data, reducing feature space while maintaining biological relevance and robustness.
PLoS ONE · Oct 10, 2019Peer-reviewedBioinformatics