tedana
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ME-ICA
TE-dependent analysis of multi-echo fMRI
### Summary The tedana devs often go back and forth about proper formatting for our documentation. We could address this by adopting the style guidelines used by [doc8](https://pypi.org/project/doc8/) and adding...
The current mechanism for integration testing with CircleCI is to run the full `tedana` pipeline and then compare the content of the output files to previously generated files using [`np.allclose`](https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.allclose.html)....
We are planning to modularize the code for the metrics calculated on each component and the decision tree for accepting/rejecting/ignoring components at the 2019 Hackathon #373 This issue is a...
### Summary Per discussion at the hackathon, it is confusing to have our data variously in XxYxZxT-, SxExT-, and MxExT-shaped arrays. Since passing around strings (to load/write files in each...
### Summary Per discussion with @afni-rickr and @emdupre, we may want regression tests for our more stable steps, like T2*/S0 estimation with log-linear and optimal combination with the t2s method....
### Summary [`tedana_workflow`](https://github.com/ME-ICA/tedana/blob/9912c092dd12891aeb4609a2112ce0a8f349d2d2/tedana/workflows/tedana.py#L217) is the focus of most of our efforts, even though [`t2smap_workflow`](https://github.com/ME-ICA/tedana/blob/9912c092dd12891aeb4609a2112ce0a8f349d2d2/tedana/workflows/t2smap.py#L106) is also probably frequently used (via fMRIPrep). As a result, `t2smap_workflow` keeps becoming more and more...
### Summary As part of reviewing #358, I was looking at the resulting volumes. I noticed that a non-trivial number of voxels are masked out in #358 than in master....
Hi - I have a few questions re: the adaptive mask routine ( in part related to issue #543 ). I'll start with a few observations. In my data, a...
Seriously. As I said on the call, we've made pretty incredible progress. We've got a much faster runtime, higher rates of convergence, significant compatibility improvements, and much fewer warnings and...
I believe that `computefeats2` tries to calculate correlation coefficients between the input data and the mixing matrix (see below) by variance normalizing the data and using `np.linalg.lstsq`. It then crops...