Releases: neurodatascience/dFC
Releases · neurodatascience/dFC
Release 1.0.3
Release 1.0.3 of pydfc
toolbox.
HIGHLIGHTS
- You can easily install the toolbox by following the instructions in
README.rst
. - The
dFC_methods_demo.ipynb
illustrates how to assess dFC using each of the methods implemented in the toolbox. - The
multi_analysis_demo.ipynb
illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.
Release 1.0.2
Release 1.0.2 of pydfc
toolbox.
HIGHLIGHTS
- You can easily install the toolbox by following the instructions in
README.rst
. - The
dFC_methods_demo.ipynb
illustrates how to assess dFC using each of the methods implemented in the toolbox. - The
multi_analysis_demo.ipynb
illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.
Release 1.0.1
Release 1.0.1 of pydfc
toolbox.
HIGHLIGHTS
- You can easily install the toolbox by following the instructions in
README.rst
. - The
dFC_methods_demo.ipynb
illustrates how to assess dFC using each of the methods implemented in the toolbox. - The
multi_analysis_demo.ipynb
illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.
Release 1.0.0
The first release of pydfc
toolbox.
HIGHLIGHTS
- You can easily install the toolbox by following the instructions in
README.rst
. - The
dFC_methods_demo.ipynb
illustrates how to assess dFC using each of the methods implemented in the toolbox. - The
multi_analysis_demo.ipynb
illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.