Evaluating the performance of random forest and iterative random forest based methods when applied to gene expression data

Gene-to-gene networks, such as Gene Regulatory Networks (GRN) and Predictive Expression Networks (PEN) capture relationships between genes and are beneficial for use in downstream biological analyses. There exists multiple network inference tools to produce these gene-to-gene networks from matrices...

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Detalles Bibliográficos
Autores principales: Walker, Angelica M., Cliff, Ashley, Romero, Jonathon, Shah, Manesh B., Jones, Piet, Felipe Machado Gazolla, Joao Gabriel, Jacobson, Daniel A, Kainer, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260260/
https://www.ncbi.nlm.nih.gov/pubmed/35832622
http://dx.doi.org/10.1016/j.csbj.2022.06.037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260260/
https://www.ncbi.nlm.nih.gov/pubmed/35832622
http://dx.doi.org/10.1016/j.csbj.2022.06.037

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