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Detecting differential growth of microbial populations with Gaussian process regression
Peter D Tonner, Cynthia L Darnell, Barbara E Engelhardt, Amy K Schmid
doi: https://doi.org/10.1101/055186
Peter D Tonner
1Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, USA
2Biology Department, Duke University, Durham, NC 27708, USA
Cynthia L Darnell
2Biology Department, Duke University, Durham, NC 27708, USA
Barbara E Engelhardt
3Computer Science Department, Center for Statistics and Machine Learning, Princeton University, Princeton, NJ 08544, USA
Amy K Schmid
1Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, USA
2Biology Department, Duke University, Durham, NC 27708, USA
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Posted May 24, 2016.
Detecting differential growth of microbial populations with Gaussian process regression
Peter D Tonner, Cynthia L Darnell, Barbara E Engelhardt, Amy K Schmid
bioRxiv 055186; doi: https://doi.org/10.1101/055186
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