Parallel Project to Bioconductor
#TO DO (Top Priority)
- Finalized NIdata file format. -- S3 or S4? Pass by reference or pass by value? -- Current idea 5 slots: 1) Phenotype information and Subject/Scan ID, 2) Scan Information (i.e. the file typically found in a NIfTI header, 3) Neuroimaging data, 4) Additional notes that can be added by the user, 5) Hash ID (to ensure each subject has a unique ID) -- We show store information about what transformation/mask was used somewhere... Also, if we convert 4D to 2D matrices, we need to store the voxel's spatial locations somewhere too...
- Hash table that makes sure each NIdata object has a unique ID. Is it by subject or by scan?
- Function to read in Phenotype information from a CSV to the NIdata
#Folder Hiearchy of Repository ##BrainCoSetup R package for Brainconductor installation
##Brainbase R package for input/output of NIdata
##Brainstat R package for the statistical analysis
##Templates R package for typical datasets for our Brainconductor package
##Templates-scripts Collection of R functions used to make the data files for Templates (These might actually be part of Templates in the future?)
##Paper Our latex paper and figures
##dicm2nii_matlab_func Matlab function to convert DICOM to NIfTI format
##OO-example Small example to illustrate pass by value and pass by reference
#Packages Needed The following are the needed packges throughout all our repositories
- assertthat, huge, R.matlab, utils