http://stackoverflow.com/questions/11433432/importing-multiple-csv-files-into-r
So idea of a workflow:
I have 10 files, all from different cells.
Contain approx 4000 points
Each file has:
position (x,y,z); distance to other protein; which node it's linked to; number of voxels
I have multiple files for each experimental condition...
Plan:
Import all the files.
Aggregate data from the imported data (rowbind, probably)
Now have 40,000 points
I have this from two experimental conditions.
Now I want to compare them!
Does treatment change the mean voxel size?
Does treatment change the mean distance?
Is there a relationship between voxel size and number of neighbours?
Is there a relationship between voxel size and the distance?
Q: the mean distance should be the same between the two data sets (HA to FLAG vs FLAG TO HA)
WE CAN CHECK THIS!
Kind of questions that might be interesting:
I guess you could say I'm interested both in trying to ask more from the data I have here (are certain distances over/under represented, are there associations between voxel size and number of neighbors, etc)
What is the pattern/distribution of distances?
Can we describe it mathematically?
What is the pattern/distribution of voxel sizes?
Can we describe it mathematically?
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