Automated analysis of flow cytometric data for measuring neutrophil CD64 expression using a multi-instrument compatible probability state model.
about
Human B-cell and progenitor stages as determined by probability state modeling of multidimensional cytometry data.Impact of T cell activation, HIV replication and hepatitis C virus infection on neutrophil CD64 expression.High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se'™ High-Definition t-SNE Mapping.Issue Highlights - November 2017 (92:B6).
P2860
Automated analysis of flow cytometric data for measuring neutrophil CD64 expression using a multi-instrument compatible probability state model.
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2015 nî lūn-bûn
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2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի փետրվարին հրատարակված գիտական հոդված
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
@zh-mo
2015年論文
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2015年论文
@wuu
name
Automated analysis of flow cyt ...... tible probability state model.
@ast
Automated analysis of flow cyt ...... tible probability state model.
@en
type
label
Automated analysis of flow cyt ...... tible probability state model.
@ast
Automated analysis of flow cyt ...... tible probability state model.
@en
prefLabel
Automated analysis of flow cyt ...... tible probability state model.
@ast
Automated analysis of flow cyt ...... tible probability state model.
@en
P2093
P2860
P356
P1476
Automated analysis of flow cyt ...... tible probability state model.
@en
P2093
Adam D Curtis
Benjamin C Hunsberger
Beth L Hill
Bruce H Davis
C Bruce Bagwell
Linda Wong
P2860
P304
P356
10.1002/CYTO.B.21217
P577
2015-02-06T00:00:00Z