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--- opensci:2023:scidata:scipra [2023/05/10 01:53] – criada pragathi
+++ opensci:2023:scidata:scipra [2024/03/23 20:17] (atual) – edição externa 127.0.0.1
@@ Linha 3: / Linha 3: @@
 ====== Description ======
-The article is about using the Quantitative Mass Spectrometry method to understand disease progression by integrating brain and Cerebrospinal Fluid proteome for early diagnostic development. There is direct relationship of CSF tthe o brain so this helps in developing better biomarkers to understand neuropathology.
+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 in causing Alzheimer disease.
+{{ :opensci:2023:scidata:plot.png?direct&400 |}}
+**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]]