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NITPicker: selecting time points for follow-up experiments

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; fo... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/s12859-019-2717-5

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Role:
Author
ORCID:
0000-0002-1685-6909
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Oxford college:
Queens College
Role:
Author
Publisher:
BioMed Central Publisher's website
Journal:
BMC Bioinformatics Journal website
Volume:
20
Article number:
166
Publication date:
2019-04-02
Acceptance date:
2019-03-06
DOI:
EISSN:
1471-2105
Language:
English
Keywords:
Pubs id:
pubs:1081371
UUID:
uuid:9de918b0-81c3-46c9-a5c7-e3719adc11a1
Local pid:
pubs:1081371
Source identifiers:
1081371
Deposit date:
2020-01-09

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