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Table 12 Biomarker comparison between tissue groups on \(D_{PeL}\)

From: Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer’s disease biomarkers

Peptide

Kruskal Wallis

p

Post-hoc

P02765 [160-165]

0.472

0.79

P23284 [159-165]

10.987

0.004

\(A\beta ^-T^-\) and \(A\beta ^+T^+\), p=0.003

\(A\beta ^+T^-\) and \(A\beta ^+T^+\), p=0.01

Q96B86 & Q6NW40 [216-221]

2.348

0.309

 

\(A\beta ^-T^-\)

\(A\beta ^+T^-\)

\(A\beta ^+T^+\)

P02765 [160-165]

\(1.10 \pm 0.36\)

\(1.04 \pm 0.27\)

\(1.00 \pm 0.24\)

P23284 [159-165]

\(1.20 \pm 0.24\)

\(1.19 \pm 0.28\)

\(0.95 \pm 0.10\)

Q96B86 & Q6NW40 [216-221]

\(0.98 \pm 0.24\)

\(0.88 \pm 0.16\)

\(0.92 \pm 0.18\)

  1. This table presents the peptide abundance of each tissue group expressed as mean ± standard deviation. Statistical significance (\(\text {p} < 0.05\)) is highlighted with bold numbers. The P23284 [159-165] peptide was found to have statistically significant differences in abundance in group \(A\beta ^+T^+\) compared to \(A\beta ^-T^-\) and \(A\beta ^+T^-\)