ARTS: Automated randomization of multiple traits for study design

Mark Maienschein-Cline, Zhengdeng Lei, Vincent Gardeux, Taimur Abbasi, Roberto Machado, Victor Gordeuk, Ankit A. Desai, Santosh Saraf, Neil Bahroos, Yves Lussier

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Summary: Collecting data from large studies on high-throughput platforms, such as microarray or next-generation sequencing, typically requires processing samples in batches. There are often systematic but unpredictable biases from batch-to-batch, so proper randomization of biologically relevant traits across batches is crucial for distinguishing true biological differences from experimental artifacts. When a large number of traits are biologically relevant, as is common for clinical studies of patients with varying sex, age, genotype and medical background, proper randomization can be extremely difficult to prepare by hand, especially because traits may affect biological inferences, such as differential expression, in a combinatorial manner. Here we present ARTS (automated randomization of multiple traits for study design), which aids researchers in study design by automatically optimizing batch assignment for any number of samples, any number of traits and any batch size.

Original languageEnglish (US)
Pages (from-to)1637-1639
Number of pages3
JournalBioinformatics
Volume30
Issue number11
DOIs
StatePublished - Jun 1 2014
Externally publishedYes

Fingerprint

Design aids
Microarrays
Random Allocation
Randomisation
Batch
Throughput
Processing
Artifacts
Hand
Genotype
Research Personnel
Differential Expression
Microarray
Sequencing
High Throughput
Assignment

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this

Maienschein-Cline, M., Lei, Z., Gardeux, V., Abbasi, T., Machado, R., Gordeuk, V., ... Lussier, Y. (2014). ARTS: Automated randomization of multiple traits for study design. Bioinformatics, 30(11), 1637-1639. https://doi.org/10.1093/bioinformatics/btu075

ARTS : Automated randomization of multiple traits for study design. / Maienschein-Cline, Mark; Lei, Zhengdeng; Gardeux, Vincent; Abbasi, Taimur; Machado, Roberto; Gordeuk, Victor; Desai, Ankit A.; Saraf, Santosh; Bahroos, Neil; Lussier, Yves.

In: Bioinformatics, Vol. 30, No. 11, 01.06.2014, p. 1637-1639.

Research output: Contribution to journalArticle

Maienschein-Cline, M, Lei, Z, Gardeux, V, Abbasi, T, Machado, R, Gordeuk, V, Desai, AA, Saraf, S, Bahroos, N & Lussier, Y 2014, 'ARTS: Automated randomization of multiple traits for study design', Bioinformatics, vol. 30, no. 11, pp. 1637-1639. https://doi.org/10.1093/bioinformatics/btu075
Maienschein-Cline M, Lei Z, Gardeux V, Abbasi T, Machado R, Gordeuk V et al. ARTS: Automated randomization of multiple traits for study design. Bioinformatics. 2014 Jun 1;30(11):1637-1639. https://doi.org/10.1093/bioinformatics/btu075
Maienschein-Cline, Mark ; Lei, Zhengdeng ; Gardeux, Vincent ; Abbasi, Taimur ; Machado, Roberto ; Gordeuk, Victor ; Desai, Ankit A. ; Saraf, Santosh ; Bahroos, Neil ; Lussier, Yves. / ARTS : Automated randomization of multiple traits for study design. In: Bioinformatics. 2014 ; Vol. 30, No. 11. pp. 1637-1639.
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