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Less Can Be More (Part 2): Better Data from Fewer Subjects via Longitudinal Studies – 42 Factors #8
Welcome back to Article 8 in the 42 Factors Series of educational articles aimed at helping researchers improve data quality in omic experiments. In the previous article about choosing the Number of Replicates to use in metabolomic experiments, we noted that although biological variability is often large, the variability associated with time is often larger.…
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To Feed or Not to Feed: Modeling Fed vs. Fasted States in Biological Research – 42 Factors Series #6
Welcome back to Article 6 in the 42 Factors Series. First and foremost, congratulations on making it this far. You have serious tenacity, and the time you’re investing in reading these articles will improve the quality of your work with omic and other data…or at least stimulate your brain. Either way, kudos to you.Today I’ll…
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Less can be more? Exploratory Metabolomics with Judicious Use of Statistics (part 1) – 42 Factors #7
What is the best allocation of a fixed experimental budget…replicates or additional experimental design points? Series article 7. #metabolomics #lipidomics #massspectrometry #cancer #cancerresearch #analyticalchemistry Looking for ways to clean up your metabolomic and other omic data? Check out these tips. 42 Factors Series – #7 Welcome back to Article 7 in the 42 Factors Series.…
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