Robust, scalable, and informative clustering for diverse biological networks

Clustering molecular data into informative groups is a primary step in extracting robust conclusions from big data. However, due to foundational issues in how they are defined and detected, such clusters are not always reliable, leading to unstable conclusions. We compare popular clustering algorith...

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Detalles Bibliográficos
Autores principales: Gaiteri, Chris, Connell, David R., Sultan, Faraz A., Iatrou, Artemis, Ng, Bernard, Szymanski, Boleslaw K., Zhang, Ada, Tasaki, Shinya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571258/
https://www.ncbi.nlm.nih.gov/pubmed/37828545
http://dx.doi.org/10.1186/s13059-023-03062-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571258/
https://www.ncbi.nlm.nih.gov/pubmed/37828545
http://dx.doi.org/10.1186/s13059-023-03062-0

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