#478 Your lab head has interpreted your univariate
Your lab head has interpreted your univariate - Biology
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As a recent graduate of RMIT University you have just been employed (3-year contract) by a world-renowned infectious diseases institute located in Victoria, Australia. You are required to investigate the effects of the novel small molecule anti-viral (DAD030981) to determine the global metabolic changes which take place in the tissue of lungs of monkeys infected by SARSCoV-2 (Infected Group) vs the tissue of lungs of healthy monkeys (Control Group). You have been asked by your laboratory head to design and carry out a “metabolomics experiment.”
Q5. Your lab head has interpreted your univariate data and noticed that amino acid metabolism appears to be downregulated in the infected group relative to the control group. Your lab head has now asked you to perform a Principal Component Analysis (multivariate analysis).
1-Briefly illustrate or describe how your Principal Component Analysis would look like.
2-What causes your control and infected groups to be separated in three-dimensional space?
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PCA - ( Principal component analysis) has been used to visualise high dimensional metabolic data in a two or three dimensional subspace
In metabolomics, metabolites are specifically choosen based on their rank, (that is,. Like first 10) and have subsequently selected when using factor loading in PCA and biological interference are made for These metabolites.
A statistical approach is made that selects metabolites with statistical hypothesis testing of the factor which is loaded in PCA which makes biological interference about MESA (metabolic set enrichment analysis).
2. This entire process depends on factors that eigonvector PCA in autoscale data is proportional to coefficient of correlation between PC score and each metabolite.
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