Cargando…
miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking
A better understanding of disease development and progression mechanisms at the molecular level is critical both for the diagnosis of a disease and for the development of therapeutic approaches. The advancements in high throughput technologies allowed to generate mRNA and microRNA (miRNA) expression...
Autores principales: | Yousef, Malik, Goy, Gokhan, Mitra, Ramkrishna, Eischen, Christine M., Jabeer, Amhar, Bakir-Gungor, Burcu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140596/ https://www.ncbi.nlm.nih.gov/pubmed/34055490 http://dx.doi.org/10.7717/peerj.11458 |
Ejemplares similares
-
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
por: Jabeer, Amhar, et al.
Publicado: (2023) -
miRModuleNet: Detecting miRNA-mRNA Regulatory Modules
por: Yousef, Malik, et al.
Publicado: (2022) -
Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods
por: Bakir-Gungor, Burcu, et al.
Publicado: (2022) -
Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME
por: Yousef, Malik, et al.
Publicado: (2021) -
Concordant dysregulation of miR-5p and miR-3p arms of the same precursor microRNA may be a mechanism in inducing cell proliferation and tumorigenesis: a lung cancer study
por: Mitra, Ramkrishna, et al.
Publicado: (2015)