Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

NITPicker : selecting time points for follow-up experiments

Tools
- Tools
+ Tools

Ezer, Daphne and Keir, Joseph (2019) NITPicker : selecting time points for follow-up experiments. BMC Bioinformatics, 20 (1). 166. doi:10.1186/s12859-019-2717-5

[img]
Preview
PDF
WRAP-NITPicker-selecting-time-points-experiments-Ezer-2019.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (1985Kb) | Preview
Official URL: http://dx.doi.org/10.1186/s12859-019-2717-5

Request Changes to record.

Abstract

Background

The design of an experiment influences both what a researcher can measure, as well as how much confidence can be placed in the results. As such, it is vitally important that experimental design decisions do not systematically bias research outcomes. At the same time, making optimal design decisions can produce results leading to statistically stronger conclusions. Deciding where and when to sample are among the most critical aspects of many experimental designs; for example, we might have to choose the time points at which to measure some quantity in a time series experiment. Choosing times which are too far apart could result in missing short bursts of activity. On the other hand, there may be time points which provide very little information regarding the overall behaviour of the quantity in question.

Results

In this study, we develop a tool called NITPicker (Next Iteration Time-point Picker) for selecting optimal time points (or spatial points along a single axis), that eliminates some of the biases caused by human decision-making, while maximising information about the shape of the underlying curves. NITPicker uses ideas from the field of functional data analysis. NITPicker is available on the Comprehensive R Archive Network (CRAN) and code for drawing figures is available on Github (https://github.com/ezer/NITPicker).

Conclusions

NITPicker performs well on diverse real-world datasets that would be relevant for varied biological applications, including designing follow-up experiments for longitudinal gene expression data, weather pattern changes over time, and growth curves.

Item Type: Journal Article
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Experimental design -- Software, Statistical decision -- Software
Journal or Publication Title: BMC Bioinformatics
Publisher: BioMed Central Ltd.
ISSN: 1471-2105
Official Date: 2 April 2019
Dates:
DateEvent
2 April 2019Published
6 March 2019Accepted
Volume: 20
Number: 1
Article Number: 166
DOI: 10.1186/s12859-019-2717-5
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Copyright Holders: © The Author(s) 2019
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
UNSPECIFIEDTrinity College, University of Cambridgehttp://dx.doi.org/10.13039/501100000727
UNSPECIFIEDAlan Turing Institutehttp://dx.doi.org/10.13039/100012338
TU/A/000017[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/S001360/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us