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DAFi: A Directed Recursive Data Filtering and Clustering Approach for Improving and Interpreting Data Clustering Identification of Cell Populations from Polychromatic Flow Cytometry Data

Computational methods for identification of cell populations from polychromatic flow cytometry data are changing the paradigm of cytometry bioinformatics. Data clustering is the most common computational approach to unsupervised identification of cell populations from multidimensional cytometry data...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Cytometry A
Egile Nagusiak: Lee, Alexandra J., Chang, Ivan, Burel, Julie G., Lindestam Arlehamn, Cecilia S., Mandava, Aishwarya, Weiskopf, Daniela, Peters, Bjoern, Sette, Alessandro, Scheuermann, Richard H., Qian, Yu
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2018
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6030426/
https://ncbi.nlm.nih.gov/pubmed/29665244
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.23371
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