This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
flimfret
--------

First, you will need to setup your data folder.
It should look something like this:

yourfolder/
dateofdatacollection/
celltype1/
1.dat
2.dat
3.dat
celltype2/
1.dat
2.dat
3.dat
celltype3/
1.dat
2.dat
3.dat
etc.

The *.dat files are the lifetime curve output w/fitted models from SymPhoTime (in development: other formats) and MUST be a number and then .dat.

To use (with caution), simply navigate to yourfolder (seen above) and run the following after starting the python interpreter::

>>> import flimfret
>>> print flimfret.pipeline()

You will be prompted to enter the names of your celltypes--make sure these are spelled correctly!

This will create
1) a new folder in each celltype folder containing normalized data
2) files with the averages for fit and decay of each celltype
3) files with compiled data for residuals, fit, and decay of each celltype
4) files with long format (suitable for downstream R analysis) compiled data for residuals, fit, and decay of each celltype
5) files with long format (suitable for downstream R analysis) compiled AVERAGES data for fit, and decay of ALL celltypes
Release History

Release History

0.3

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.2

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
flimfret-0.3.tar.gz (3.3 kB) Copy SHA256 Checksum SHA256 Source Jun 17, 2015

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