fMRIDenoise自动去噪，去噪策略比较，功能连接数据质量控制。
fmridenoise的Python项目详细描述
fMRIDenoise-自动去噪，去噪策略比较，功能连接数据质量控制
自动去噪工具，去噪策略比较， 以及功能连接数据质量控制。 fMRIDenoise的目标是提供一种客观的选择方法 在给定数据的情况下，最佳的去噪策略。 FMRIDenoise设计为直接处理fMRIPrep-预处理的数据集和 BIDS标准中的数据。 我们相信该工具可以使去噪策略的选择更加客观，也有助于研究人员在几乎不费吹灰之力的情况下获得FC的质量控制指标。在
该项目正处于alpha阶段，我们正在寻找反馈和合作者。
问题
解决方案
安装
在项目目录中运行：
python setup.py install (--user)
从PyPi安装fmridenoise运行：
^{pr2}$执行
fmridenoise或python-m fmridenoise
usage: fmridenoise [-h] [-sub SUBJECTS [SUBJECTS ...]]
[-ses SESSIONS [SESSIONS ...]] [-t TASKS [TASKS ...]]
[-p PIPELINES [PIPELINES ...]]
[-d DERIVATIVES [DERIVATIVES ...]] [--high-pass HIGH_PASS]
[--low-pass LOW_PASS] [--MultiProc] [--profiler PROFILER]
[-g] [--graph GRAPH] [--dry]
bids_dir
positional arguments:
bids_dir Path do preprocessed BIDS dataset.
optional arguments:
-h, --help Show help message and exit.
-sub SUBJECTS [SUBJECTS ...], --subjects SUBJECTS [SUBJECTS ...]
List of subjects
-ses SESSIONS [SESSIONS ...], --sessions SESSIONS [SESSIONS ...]
List of session numbers, separated with spaces.
-t TASKS [TASKS ...], --tasks TASKS [TASKS ...]
List of tasks names, separated with spaces.
-p PIPELINES [PIPELINES ...], --pipelines PIPELINES [PIPELINES ...]
Name of pipelines used for denoising, can be both
paths to json files with pipeline or name of pipelines
from package.
-d DERIVATIVES [DERIVATIVES ...], --derivatives DERIVATIVES [DERIVATIVES ...]
Name (or list) of derivatives for which fmridenoise
should be run. By default workflow looks for fmriprep
dataset.
--high-pass HIGH_PASS
High pass filter value, deafult 0.008.
--low-pass LOW_PASS Low pass filter value, default 0.08
--MultiProc Run script on multiple processors, default False
--profiler PROFILER Run profiler along workflow execution to estimate
resources usage PROFILER is path to output log file.
-g, --debug Run fmridenoise in debug mode - richer output, stops
on first unchandled exception.
--graph GRAPH Create workflow graph at GRAPH path
--dry Perform everything except actually running workflow
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