fmriflows:fmriflows是许多(相关的)fMRI分析管道的联合体,包括解剖和功能预处理,单变量第一级和第二级分析以及多元模式分析

上传者: 42113456 | 上传时间: 2023-02-20 05:20:22 | 文件大小: 18.71MB | 文件类型: ZIP
功能磁共振成像 fMRIflows是完全自主的单变量和多变量fMRI处理管道的集合。 这包括解剖和功能上的预处理,信号混杂的估计以及在受试者和小组水平上的单变量和多变量分析。 显而易见, fMRIflows受到和其他开源项目的极大启发,并从它们的思想和解决方案中大力借鉴。 但是尽管可以被描述为“玻璃”盒子软件,但fMRIflows更像是鞋盒。 易于打开,易于理解,内部简单易用,可轻松更换和更改内部组件。 这完全是由于fMRIflows所有源代码都存储在笔记本中。 如果您正在出版物中使用fMRIflows ,请与作者 fMRIflows联系,以获取有关如何引用此工具箱的更多信息,因为该出版物目前正在准备提交。 安装及使用 使用容器 使用fMRIflows的最佳方法是直接在相应的容器( 或 )中运行它。 可以使用docker pull miykael/fmriflows命令从Docker

文件下载

资源详情

[{"title":"( 106 个子文件 18.71MB ) fmriflows:fmriflows是许多(相关的)fMRI分析管道的联合体,包括解剖和功能预处理,单变量第一级和第二级分析以及多元模式分析","children":[{"title":".dockerignore <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":".mailmap <span style='color:#111;'> 43B </span>","children":null,"spread":false},{"title":"fsl_feat_TR1000.sh <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"fsl_design_TR1000.fsf <span style='color:#111;'> 8.32KB </span>","children":null,"spread":false},{"title":"fmriflows_spec_preproc_TR1000.json <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"spm_batch_TR600.m <span style='color:#111;'> 418.00KB </span>","children":null,"spread":false},{"title":"fmriprep_TR600.sh <span style='color:#111;'> 532B </span>","children":null,"spread":false},{"title":"fsl_design_TR600.fsf <span style='color:#111;'> 8.84KB </span>","children":null,"spread":false},{"title":"fsl_feat_TR2000.sh <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"fmriprep_TR1000.sh <span style='color:#111;'> 562B </span>","children":null,"spread":false},{"title":"spm_batch_TR2000.m <span style='color:#111;'> 151.54KB </span>","children":null,"spread":false},{"title":"fsl_feat_TR600.sh <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false},{"title":"fmriflows_spec_preproc_TR2000.json <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"fsl_design_TR2000.fsf <span style='color:#111;'> 8.36KB </span>","children":null,"spread":false},{"title":"fmriprep_TR2000.sh <span style='color:#111;'> 521B </span>","children":null,"spread":false},{"title":"fmriflows_spec_preproc_TR600.json <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"spm_batch_TR1000.m <span style='color:#111;'> 243.60KB </span>","children":null,"spread":false},{"title":"script_07_bland-altmann_tsnr_stdev.py <span style='color:#111;'> 7.34KB </span>","children":null,"spread":false},{"title":"script_09_group_compare_stats.py <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"script_08_euler.py <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"script_07_bland-altmann.py <span style='color:#111;'> 8.07KB </span>","children":null,"spread":false},{"title":"script_03_group_averages_stdev.py <span style='color:#111;'> 3.91KB </span>","children":null,"spread":false},{"title":"script_02_compute_tsnr.py <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"script_05_analysis_1stlevel.py <span style='color:#111;'> 7.70KB </span>","children":null,"spread":false},{"title":"script_04_group_averages_tsnr.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"script_01_FWHMx.sh <span style='color:#111;'> 3.01KB </span>","children":null,"spread":false},{"title":"script_09_group_compare_tsnr.py <span style='color:#111;'> 4.26KB </span>","children":null,"spread":false},{"title":"script_06_analysis_2ndlevel.py <span style='color:#111;'> 8.43KB </span>","children":null,"spread":false},{"title":"script_07_bland-altmann_tsnr_stdev.py <span style='color:#111;'> 7.34KB </span>","children":null,"spread":false},{"title":"script_09_group_compare_stats.py <span style='color:#111;'> 3.29KB </span>","children":null,"spread":false},{"title":"script_08_euler.py <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"script_07_bland-altmann.py <span style='color:#111;'> 8.08KB </span>","children":null,"spread":false},{"title":"script_03_group_averages_stdev.py <span style='color:#111;'> 3.91KB </span>","children":null,"spread":false},{"title":"script_02_compute_tsnr.py <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"script_05_analysis_1stlevel.py <span style='color:#111;'> 7.49KB </span>","children":null,"spread":false},{"title":"script_04_group_averages_tsnr.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"script_01_FWHMx.sh <span style='color:#111;'> 3.08KB </span>","children":null,"spread":false},{"title":"script_09_group_compare_tsnr.py <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"script_06_analysis_2ndlevel.py <span style='color:#111;'> 8.43KB </span>","children":null,"spread":false},{"title":"plot_estimaed_fwhm.ipynb <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"script_07_bland-altmann_tsnr_stdev.py <span style='color:#111;'> 7.34KB </span>","children":null,"spread":false},{"title":"script_09_group_compare_stats.py <span style='color:#111;'> 3.28KB </span>","children":null,"spread":false},{"title":"script_08_euler.py <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"script_07_bland-altmann.py <span style='color:#111;'> 8.07KB </span>","children":null,"spread":false},{"title":"script_03_group_averages_stdev.py <span style='color:#111;'> 3.91KB </span>","children":null,"spread":false},{"title":"script_02_compute_tsnr.py <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"script_05_analysis_1stlevel.py <span style='color:#111;'> 7.92KB </span>","children":null,"spread":false},{"title":"script_04_group_averages_tsnr.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"script_01_FWHMx.sh <span style='color:#111;'> 3.01KB </span>","children":null,"spread":false},{"title":"script_09_group_compare_tsnr.py <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false},{"title":"script_06_analysis_2ndlevel.py <span style='color:#111;'> 8.43KB </span>","children":null,"spread":false},{"title":"summary_fwhm.csv <span style='color:#111;'> 27.70KB </span>","children":null,"spread":false},{"title":"contributing.md <span style='color:#111;'> 7.31KB </span>","children":null,"spread":false},{"title":"02_preproc_anat.ipynb <span style='color:#111;'> 33.18KB </span>","children":null,"spread":false},{"title":"03_preproc_func.ipynb <span style='color:#111;'> 103.15KB </span>","children":null,"spread":false},{"title":"05_analysis_2nd-level.ipynb <span style='color:#111;'> 25.94KB </span>","children":null,"spread":false},{"title":"01_spec_preparation.ipynb <span style='color:#111;'> 30.39KB </span>","children":null,"spread":false},{"title":"04_analysis_1st-level.ipynb <span style='color:#111;'> 44.39KB </span>","children":null,"spread":false},{"title":"report_template_preproc_anat.html <span style='color:#111;'> 6.40KB </span>","children":null,"spread":false},{"title":"report_template_1stlevel.html <span style='color:#111;'> 435B </span>","children":null,"spread":false},{"title":"logo_fmriflows.gif <span style='color:#111;'> 7.96MB </span>","children":null,"spread":false},{"title":"report_template_preproc_func.html <span style='color:#111;'> 4.62KB </span>","children":null,"spread":false},{"title":"logo_fmriflows.png <span style='color:#111;'> 256.14KB </span>","children":null,"spread":false},{"title":"06_analysis_multivariate.ipynb <span style='color:#111;'> 57.08KB </span>","children":null,"spread":false},{"title":"code_of_conduct.md <span style='color:#111;'> 5.22KB </span>","children":null,"spread":false},{"title":"Dockerfile <span style='color:#111;'> 18.05KB </span>","children":null,"spread":false},{"title":"test_notebooks.py <span style='color:#111;'> 7.92KB </span>","children":null,"spread":false},{"title":"clean_notebooks.py <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"config.yml <span style='color:#111;'> 871B </span>","children":null,"spread":false},{"title":"issue_template.md <span style='color:#111;'> 370B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 12.66KB </span>","children":null,"spread":false},{"title":"generate.sh <span style='color:#111;'> 9.58KB </span>","children":null,"spread":false},{"title":".zenodo.json <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 43B </span>","children":null,"spread":false},{"title":"Singularity <span style='color:#111;'> 15.07KB </span>","children":null,"spread":false},{"title":"preproc_func.svg <span style='color:#111;'> 13.47KB </span>","children":null,"spread":false},{"title":"analysis_1st.png <span style='color:#111;'> 140.09KB </span>","children":null,"spread":false},{"title":"analysis_1st.dot <span style='color:#111;'> 2.71KB </span>","children":null,"spread":false},{"title":"analysis_1st.svg <span style='color:#111;'> 11.93KB </span>","children":null,"spread":false},{"title":"fmriflows_spec_analysis.json <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"fmriflows_spec_preproc.json <span style='color:#111;'> 970B </span>","children":null,"spread":false},{"title":"preproc_func_ICA_comp_brain_nofilt.png <span style='color:#111;'> 569.04KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_compT_filt.png <span style='color:#111;'> 251.01KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_main_filt.png <span style='color:#111;'> 282.99KB </span>","children":null,"spread":false},{"title":"preproc_anat_brain.png <span style='color:#111;'> 690.64KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_motion_nofilt.png <span style='color:#111;'> 338.32KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_compA_nofilt.png <span style='color:#111;'> 374.59KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_compT_nofilt.png <span style='color:#111;'> 359.00KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_motion_filt.png <span style='color:#111;'> 347.36KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_compA_filt.png <span style='color:#111;'> 250.20KB </span>","children":null,"spread":false},{"title":"preproc_func_carpet_nofilt.png <span style='color:#111;'> 606.56KB </span>","children":null,"spread":false},{"title":"preproc_func_ICA_comp_signal_filt.png <span style='color:#111;'> 1.62MB </span>","children":null,"spread":false},{"title":"preproc_func_ICA_comp_brain_filt.png <span style='color:#111;'> 581.79KB </span>","children":null,"spread":false},{"title":"preproc_func_confounds_main_nofilt.png <span style='color:#111;'> 363.52KB </span>","children":null,"spread":false},{"title":"preproc_func_carpet_filt.png <span style='color:#111;'> 421.86KB </span>","children":null,"spread":false},{"title":"preproc_anat_segmentation.png <span style='color:#111;'> 556.84KB </span>","children":null,"spread":false},{"title":"preproc_func_overlays.png <span style='color:#111;'> 209.63KB </span>","children":null,"spread":false},{"title":"preproc_func_ICA_comp_signal_nofilt.png <span style='color:#111;'> 2.08MB </span>","children":null,"spread":false},{"title":"preproc_anat_normalized.png <span style='color:#111;'> 576.31KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明