R: ggplot, ggkaboom, barplot

geomitry calculation: areas, distance, etc

When we compare our control with another group, the t-test could fit our goal very well. But when we need to compare it into more than 1 group, 3 groups for example, the t-test could only give the random false positive independently. That means three false positives in three comparisons. This would cause a problem. Because the false positive we need to consider now is at least one false positive in three comparisons. It means we need to adjust the p-value and apply a rigorous method to achieve a more reliable result. For doing that, ANOVA was introduced and applied.

Quick Guide of settel your Pop OS!

Normal Distribution; CI calculate; t-table; p-value; T test; Independence and rejection of data; Propagation of errors

Notes for Genetics

Classes 13, Protein Translocation

Let's explore the function of proteins

Let's explore the function of proteins

Let's explore the function of proteins

Let's explore the function of proteins

Classes 13, Protein Translocation

Stich two or more images to one with opencv

NMF: Non-negtive matrix factorization

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