Mercator: a pipeline for multi-method, unsupervised visualization and distance generation

SUMMARY: Unsupervised machine learning provides tools for researchers to uncover latent patterns in large-scale data, based on calculated distances between observations. Methods to visualize high-dimensional data based on these distances can elucidate subtypes and interactions within multi-dimension...

Descripción completa

Detalles Bibliográficos
Autores principales: Abrams, Zachary B., Coombes, Caitlin E., Li, Suli, Coombes, Kevin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428582/
https://www.ncbi.nlm.nih.gov/pubmed/33515233
http://dx.doi.org/10.1093/bioinformatics/btab037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428582/
https://www.ncbi.nlm.nih.gov/pubmed/33515233
http://dx.doi.org/10.1093/bioinformatics/btab037

Ejemplares similares