A Computational Approach to Identification of Candidate Biomarkers in High-Dimensional Molecular Data

Complex high-dimensional datasets that are challenging to analyze are frequently produced through ‘-omics’ profiling. Typically, these datasets contain more genomic features than samples, limiting the use of multivariable statistical and machine learning-based approaches to analysis. Therefore, effe...

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Detalles Bibliográficos
Autores principales: Gerolami, Justin, Wong, Justin Jong Mun, Zhang, Ricky, Chen, Tong, Imtiaz, Tashifa, Smith, Miranda, Jamaspishvili, Tamara, Koti, Madhuri, Glasgow, Janice Irene, Mousavi, Parvin, Renwick, Neil, Tyryshkin, Kathrin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407361/
https://www.ncbi.nlm.nih.gov/pubmed/36010347
http://dx.doi.org/10.3390/diagnostics12081997

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407361/
https://www.ncbi.nlm.nih.gov/pubmed/36010347
http://dx.doi.org/10.3390/diagnostics12081997

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