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--- opensci:2023:scidata:scipra [2023/05/12 02:59] – pragathi
+++ opensci:2023:scidata:scipra [2024/03/23 20:17] (atual) – edição externa 127.0.0.1
@@ Linha 5: / Linha 5: @@
 The article uses the Quantitative Mass Spectrometry method to understand disease progression by integrating brain and Cerebrospinal Fluid proteome for early diagnostic development. There is a direct relationship between CSF to the brain, which helps develop better biomarkers to understand neuropathology.
-**AIM**: To examine the relationships between variables (Age; Biomarkers: ABeta42,tTau, PTau; APOE gene; MoCA cognitive test) using correlation coefficients (Pearson correlation) to determine if there are any associations between age, biomarker levels, cognitive scores, and APOE gene.
+**AIM**: To examine the relationships between variables (Age; Biomarkers: ABeta42,tTau, PTau; APOE gene; MoCA cognitive test) using correlation coefficients (Pearson correlation) to determine if there are any associations between age, biomarker levels, cognitive scores, and APOE gene in causing Alzheimer disease.
-{{:opensci:2023:scidata:plot.png?400 |}}
+{{ :opensci:2023:scidata:plot.png?direct&400 |}}
-{{ :opensci:2023:scidata:plot_cor.png?200|}}
+**Figure 1**:  A matrix of scatterplots for pairwise variable comparisons.
+{{ :opensci:2023:scidata:plot_cor.png?direct&400 |correlation plot of the correlation matrix}}
+**Figure 2**:  A color-coded correlation plot of the correlation matrix
+**Results**: The variables pTau and tTau had the highest positive correlation with the Correlation Coefficient of 0.9844788 in relation to the progression of Alzheimer's disease.
 Rstudio Link: [[https://posit.cloud/content/5925843|Scientific data analysis]]