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Table 10 Biomarker comparison between tissue groups on the lumbar protein dataset

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

Protein

Kruskal Wallis

p

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

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

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

Post-hoc

ADCYAP1

3.02

0.221

\(0.93 \pm 0.26\)

\(0.92 \pm 0.31\)

\(1.10 \pm 0.29\)

MDK

0.019

0.99

\(1.19 \pm 0.31\)

\(1.17 \pm 0.27\)

\(1.23 \pm 0.37\)

NRGN

1.854

0.396

\(0.74 \pm 0.24\)

\(0.79 \pm 0.20\)

\(0.81 \pm 0.17\)

MSTN

0.132

0.93624

\(1.05 \pm 0.13\)

\(1.03 \pm 0.15\)

\(1.05 \pm 0.19\)

RFNG

1.915

0.38381

\(1.11 \pm 0.22\)

\(1.05 \pm 0.20\)

\(1.13 \pm 0.30\)

  1. This table presents the protein abundance of each of the tissue groups is expressed as mean ± standard deviation. Statistical significance (\(\text {p} < 0.05\)) is highlighted with bold numbers