Novel R Pipeline for Analyzing Biolog Phenotypic Microarray Data
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DOI: 10.1371/journal.pone.0118392
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References listed on IDEAS
- Sturino Joseph & Zorych Ivan & Mallick Bani & Pokusaeva Karina & Chang Ying-Ying & Carroll Raymond J & Bliznuyk Nikolay, 2010. "Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-21, August.
- Lea A I Vaas & Johannes Sikorski & Victoria Michael & Markus Göker & Hans-Peter Klenk, 2012. "Visualization and Curve-Parameter Estimation Strategies for Efficient Exploration of Phenotype Microarray Kinetics," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-18, April.
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Cited by:
- Mikhail Shubin & Katharina Schaufler & Karsten Tedin & Minna Vehkala & Jukka Corander, 2016. "Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-14, September.
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