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In contrast to normal differentiated cells which rely primarily on mitochondrial oxidative phosphorylation to generate the energy needed for cellular processes most cancer cells instead rely on aerobic glycolysis a phenomenon termed “the Warburg effect” Aerobic glycolysis is an inefficient way to generate adenosine 5’triphosphate (ATP) however and the advantage it.
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count() lets you quickly count the unique values of one or more variables df %>% count(a b) is roughly equivalent to df %>% group_by(a b) %>% summarise(n = n()) count() is paired with tally() a lowerlevel helper that is equivalent to df %>% summarise(n = n()) Supply wt to perform weighted counts switching the summary from n = n() to n = sum(wt) add_count() and.