1997
DOI: 10.1016/s1385-299x(96)00014-1
|View full text |Cite
|
Sign up to set email alerts
|

The use of cluster analysis for cell typing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
100
0

Year Published

2003
2003
2013
2013

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 61 publications
(102 citation statements)
references
References 13 publications
0
100
0
Order By: Relevance
“…Cluster analysis is one of the most appropriate methods for objective cell grouping, and has been successfully used for research on neuronal categorization (Schweitzer and Renehan, 1997;Cauli et al, 2000). However, to the best of our knowledge, this is the first study to assess an objective classification of reactive microglia with a cluster analysis based on morphometric variables.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Cluster analysis is one of the most appropriate methods for objective cell grouping, and has been successfully used for research on neuronal categorization (Schweitzer and Renehan, 1997;Cauli et al, 2000). However, to the best of our knowledge, this is the first study to assess an objective classification of reactive microglia with a cluster analysis based on morphometric variables.…”
Section: Discussionmentioning
confidence: 99%
“…Multimodal parameters are essential for separating a population of cells into multiple groups by the hierarchical cluster analysis. Schweitzer and Renehan (1997) suggested that a statistical parameter with an MMI larger than 0.55 is multimodal. In this regard, Soltys et al (2005) reported that only two of nine morphometric parameters obtained from microglia labeled by isolectin from Bandeiraea simplicifolia (BSI-B4) exhibited an MMI larger than 0.55.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…To assess the homogeneity of the axonal population in each area in relation to defined morphometric variables, we first performed a Multivariate Analysis of Variance (MANOVA). Next, an exploratory cluster analysis of morphological terminal types was performed using hierarchical clustering analysis (HCA) to explore whether specific groups of terminals existed in our sample based on the morphometric variables mentioned above (Steele and Weller, 1995;Schweitzer and Renehan, 1997;Gomes-Leal et al, 2002;Rocha et al, 2007). The significance of the classification performed by the HCA was tested with a MANOVA.…”
Section: Discussionmentioning
confidence: 99%