Cargando…
EnRank: An Ensemble Method to Detect Pulmonary Hypertension Biomarkers Based on Feature Selection and Machine Learning Models
Pulmonary hypertension (PH) is a common disease that affects the normal functioning of the human pulmonary arteries. The peripheral blood mononuclear cells (PMBCs) served as an ideal source for a minimally invasive disease diagnosis. This study hypothesized that the transcriptional fluctuations in t...
Autores principales: | Liu, Xiangju, Zhang, Yu, Fu, Chunli, Zhang, Ruochi, Zhou, Fengfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110930/ https://www.ncbi.nlm.nih.gov/pubmed/33986767 http://dx.doi.org/10.3389/fgene.2021.636429 |
Ejemplares similares
-
Novel Ensemble Feature Selection Approach and Application in Repertoire Sequencing Data
por: He, Tao, et al.
Publicado: (2022) -
Ensemble learning-based feature selection for phosphorylation site detection
por: Liu, Songbo, et al.
Publicado: (2022) -
Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive Peptides
por: Lertampaiporn, Supatcha, et al.
Publicado: (2022) -
Feature Selection of OMIC Data by Ensemble Swarm Intelligence Based Approaches
por: Yao, Zhaomin, et al.
Publicado: (2022) -
RIFS: a randomly restarted incremental feature selection algorithm
por: Ye, Yuting, et al.
Publicado: (2017)