Modeling error in experimental assays using the bootstrap principle: Understanding discrepancies between assays using different dispensing technologies Journal Article


Authors: Hanson, S. M.; Ekins, S.; Chodera, J. D.
Article Title: Modeling error in experimental assays using the bootstrap principle: Understanding discrepancies between assays using different dispensing technologies
Abstract: All experimental assay data contains error, but the magnitude, type, and primary origin of this error is often not obvious. Here, we describe a simple set of assay modeling techniques based on the bootstrap principle that allow sources of error and bias to be simulated and propagated into assay results. We demonstrate how deceptively simple operations - such as the creation of a dilution series with a robotic liquid handler - can significantly amplify imprecision and even contribute substantially to bias. To illustrate these techniques, we review an example of how the choice of dispensing technology can impact assay measurements, and show how large contributions to discrepancies between assays can be easily understood and potentially corrected for. These simple modeling techniques - illustrated with an accompanying IPython notebook - can allow modelers to understand the expected error and bias in experimental datasets, and even help experimentalists design assays to more effectively reach accuracy and imprecision goals. © 2015 Springer International Publishing Switzerland.
Keywords: controlled study; review; calibration; signal noise ratio; measurement; regression analysis; normal distribution; enzyme assay; technology; michaelis constant; statistical distribution; bootstrapping; michaelis menten kinetics; random error; priority journal; ic50; acoustic droplet ejection; assay modeling; bootstrap principle; direct dispensing; dispensing technologies; error modeling; liquid handling; dispensing technology; substrate concentration
Journal Title: Journal of Computer-Aided Molecular Design
Volume: 29
Issue: 12
ISSN: 0920-654X
Publisher: Springer  
Date Published: 2015-12-01
Start Page: 1073
End Page: 1086
Language: English
DOI: 10.1007/s10822-015-9888-6
PROVIDER: scopus
PMCID: PMC4696763
PUBMED: 26678597
DOI/URL:
Notes: Review -- Export Date: 3 February 2016 -- Source: Scopus
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MSK Authors
  1. John Damon Chodera
    118 Chodera
  2. Sonya Merritt Hanson
    11 Hanson
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