Principal component analysis for differentiating brain cell-types

AR Anne Richelle
BK Benjamin P. Kellman
AW Alexander T. Wenzel
AC Austin W.T. Chiang
TR Tyler Reagan
JG Jahir M. Gutierrez
CJ Chintan Joshi
SL Shangzhong Li
JL Joanne K. Liu
HM Helen Masson
JL Jooyong Lee
ZL Zerong Li
LH Laurent Heirendt
CT Christophe Trefois
EJ Edwin F. Juarez
TB Tyler Bath
DB David Borland
JM Jill P. Mesirov
KR Kimberly Robasky
NL Nathan E. Lewis
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A matrix representing the metabolic function scores for 3 brain cell types (i.e., astrocytes, neurons and oligodendrocytes) was constructed by multiplying the metabolic task scores computed in their continuous version (Table S4) with the ones in their binary version (Table S5). A PCA analysis on this matrix was conducted. As this analysis did not enable the differentiation between astrocytes and oligodendrocytes, we performed a subsequent similar PCA analysis by only using the samples related to these specific cell-types.

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