Death by statistics — When one replicate is enough

This week, I committed statistical blasphemy by arguing that, in some cases, one replicate can be enough for a specific type of molecular biology experiment. Before you rush to conclusions, let me explain. I haven’t lost my mind. A single experiment would prove me wrong What I like about this quote To be less and less wrong How many replicates is enough? One single replicate can prove me wrong Continuously revising your knowledge is what makes you a scientist A real-world example of a single replicate experiment Always account for opportunity cost It didn’t end there When a single replicate of an RNA-seq experiment is enough Proof of Concept Exploratory Experiments Negative Control Confirmation Clear, Robust Phenotypes Resource Limitations Specific Experiments (e.g., Genome Annotations, Response Curves, Time Courses ) Rare Samples

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-13
DOI
https://doi.org/10.5281/zenodo.13925560
Primary Topic
Philosophy and History of Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Death by statistics — When one replicate is enough

Zenodo (CERN European Organization for Nuclear Research)
Philosophy and History of Science
article

Death by statistics — When one replicate is enough

article en

Abstract

This week, I committed statistical blasphemy by arguing that, in some cases, one replicate can be enough for a specific type of molecular biology experiment. Before you rush to conclusions, let me explain. I haven’t lost my mind. A single experiment would prove me wrong What I like about this quote To be less and less wrong How many replicates is enough? One single replicate can prove me wrong Continuously revising your knowledge is what makes you a scientist A real-world example of a single replicate experiment Always account for opportunity cost It didn’t end there When a single replicate of an RNA-seq experiment is enough Proof of Concept Exploratory Experiments Negative Control Confirmation Clear, Robust Phenotypes Resource Limitations Specific Experiments (e.g., Genome Annotations, Response Curves, Time Courses ) Rare Samples

Zenodo (CERN European Organization for Nuclear Research)
Sainsbury Laboratory (GB)
Openalex Percentile: Top 29%
Philosophy and History of Science
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