Published May 16, 2018 | Version 1.0
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MCMC Samples for channel quantification and logistic regression described in "Connecting the dots between mechanosensitive channel abundance, osmotic shock, and survival at single-cell resolution."

  • 1. ROR icon California Institute of Technology

Description

This data set contains all samples obtained through Markov chain Monte Carlo for estimation of the fluorescence calibration factor, the average cell area, and the most-likely channel copy number for a series of cells.

Files

mscl_survival_mcmc_samples.zip
Files (314.9 MB)
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md5:1d16aa4a633e4ee9ee9c1de3abe87865
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Other

Related Publication: Connecting the dots between mechanosensitive channel abundance, osmotic shock, and survival at single-cell resolution Griffin Chure Caltech Heun Jin Lee Caltech Rob Phillips Caltech BioRxiv eng

Additional details

Created:
September 9, 2022
Modified:
November 28, 2022