Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples

Unsupervised learning techniques, such as clustering and embedding, have been increasingly popular to cluster biomedical samples from high-dimensional biomedical data. Extracting clinical data or sample meta-data shared in common among biomedical samples of a given biological condition remains a maj...

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Detalles Bibliográficos
Autores principales: Nguyen, Thanh M., Bharti, Samuel, Yue, Zongliang, Willey, Christopher D., Chen, Jake Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481385/
https://www.ncbi.nlm.nih.gov/pubmed/34604741
http://dx.doi.org/10.3389/fdata.2021.725276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481385/
https://www.ncbi.nlm.nih.gov/pubmed/34604741
http://dx.doi.org/10.3389/fdata.2021.725276

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