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Sometimes it is important to to read ICA solutions from different packages. To simplify this we probably need some new abstraction. I still have to think about it but the idea would be to write an ICA…
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Paper:http://pubs.acs.org/doi/full/10.1021/pr7007626Software/data link:http://murphylab.web.cmu.edu/software/2008_JProteomeResearch_HPA/
Original reporter: mbray
Jira link: https://jira.broadinstitut…
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Our coming soon list
Selecting a thresholding method (coming soon)
Correction factors and upper/lower limits (coming soon)
Segmentation and declumping methods (coming soon)
Smoothing filter and maxima…
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@dazuma I got the following error when install `blockenspiel` under ruby `2.3.0`, is there a plan to add ruby 2.3.0 support for `blockenspiel`?
➜ ~ gem install blockenspiel
Fetching: blockenspiel-0…
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On some of my data sets, I get different ICA decompositions depending on the Python distribution (Anaconda vs. Homebrew). Using a brewed Python 3.5.1, I even get different decompositions when I run th…
cbrnr updated
8 years ago
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In https://github.com/scot-dev/scot/issues/160, I noticed that I get different ICs depending on whether I run my script on Anaconda Python or Python installed via Homebrew. In addition, Homebrew Pytho…
cbrnr updated
8 years ago
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Can you suggest a means of utilizing this toolbox for ICA decomposition by way of EEGLAB in MATLAB.
Currently, to run the binary ICA the following code is executed: EEG = pop_runica(EEG,'icatype','bi…
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Hi Andre,
When applying the ICA filter right after computing the ICA matrix (merged datasets option), I get the following error:
ERROR : the datasets do not have matching unmixing matrices
It is str…
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I'd like to run ICA for auto-ECG removal and EOG component rejection (with correlation) on multiple maxmoved fifs per subject. I load all the fifs into a single raw instance currently. I will often ha…
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**Reported by rcurtin on 9 Mar 42052669 15:48 UTC**
From `radical_main.cpp`:
```
PROGRAM_INFO("RADICAL", "An implementation of RADICAL, a method for independent"
"component analysis (ICA). Assum…