Published May 16, 2018 | Version 1.0
Dataset Open

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."

Creators

  • 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.

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

Files

mscl_survival_mcmc_samples.zip

Files (314.9 MB)

Name Size
md5:1d16aa4a633e4ee9ee9c1de3abe87865
314.9 MB Preview Download

Additional details

Identifiers

CALTECHDATA_ID
942

Related works

Is derived from
10.22002/D1.941 (DOI)

Funding

National Institues of Health
:unav DP1 OD000217
National Institutes of Health
:unav GM084211-A1
National Institutes of Health
:unav GM118043-01
La Fondation Pierre Gilles de Gennes