A comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification

MOTIVATION: Gene expression-based multiclass prediction, such as tumor subtyping, is a non-trivial bioinformatic problem. Most classifier methods operate by comparing expression levels relative to other samples. Methods that base predictions on the expression pattern within a sample have been propos...

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Detalles Bibliográficos
Autores principales: Eriksson, Pontus, Marzouka, Nour-al-dain, Sjödahl, Gottfrid, Bernardo, Carina, Liedberg, Fredrik, Höglund, Mattias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796360/
https://www.ncbi.nlm.nih.gov/pubmed/34788787
http://dx.doi.org/10.1093/bioinformatics/btab763

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796360/
https://www.ncbi.nlm.nih.gov/pubmed/34788787
http://dx.doi.org/10.1093/bioinformatics/btab763

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