scona
0.1dev
Contents:
Introduction
Structural Covariance Matrices
Creating a Network
Network Analysis at the Nodal Level
Network Analysis at the Global Level
Plotting Brain Networks
scona
»
Index
Index
A
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B
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C
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D
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F
|
G
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I
|
M
|
N
|
O
|
P
|
R
|
S
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T
|
V
|
W
|
X
|
Z
A
add_cells_picture() (in module scona.scripts.make_figures)
add_colorbar() (in module scona.scripts.make_figures)
add_four_hor_brains() (in module scona.scripts.make_figures)
add_graphs() (scona.classes.GraphBundle method)
add_wedge() (in module scona.scripts.make_figures)
all_mean_mt() (in module scona.scripts.make_figures)
anatomical_copy() (in module scona.make_graphs)
(scona.classes.BrainNetwork method)
anatomical_graph_attributes (scona.classes.BrainNetwork attribute)
anatomical_graph_attributes() (in module scona.make_graphs)
anatomical_matches() (scona.classes.GraphBundle method)
anatomical_node_attributes (scona.classes.BrainNetwork attribute)
anatomical_node_attributes() (in module scona.make_graphs)
apply() (scona.classes.GraphBundle method)
assign_interhem() (in module scona.graph_measures)
assign_nodal_distance() (in module scona.graph_measures)
assign_node_centroids() (in module scona.make_graphs)
assign_node_names() (in module scona.make_graphs)
B
BrainNetwork (class in scona.classes)
C
calc_min_max() (in module scona.scripts.make_figures)
calc_modularity() (in module scona.graph_measures)
calc_nodal_partition() (in module scona.graph_measures)
calculate_global_measures() (in module scona.graph_measures)
(scona.classes.BrainNetwork method)
calculate_nodal_measures() (in module scona.graph_measures)
(scona.classes.BrainNetwork method)
calculate_spatial_measures() (scona.classes.BrainNetwork method)
candidate_histogram() (in module scona.scripts.make_figures)
copy_anatomical_data() (in module scona.make_graphs)
corr_by_agebin() (in module scona.scripts.make_figures)
corrmat_from_regionalmeasures() (in module scona.make_corr_matrices)
(in module scona.wrappers.corrmat_from_regionalmeasures)
create_corrmat() (in module scona.make_corr_matrices)
create_random_graphs() (scona.classes.GraphBundle method)
create_residuals_df() (in module scona.make_corr_matrices)
create_violin_data() (in module scona.scripts.make_figures)
create_violin_labels() (in module scona.scripts.make_figures)
D
degree_r_values() (in module scona.scripts.make_figures)
F
figs_for_talk() (in module scona.scripts.make_figures)
figure_1() (in module scona.scripts.make_figures)
figure_1_replication() (in module scona.scripts.make_figures)
figure_2() (in module scona.scripts.make_figures)
figure_3() (in module scona.scripts.make_figures)
figure_4() (in module scona.scripts.make_figures)
figure_4_replication() (in module scona.scripts.make_figures)
format_p() (in module scona.scripts.make_figures)
G
get_anatomical_layouts() (in module scona.scripts.make_figures)
get_axis_label_dict() (in module scona.scripts.make_figures)
get_circular_layout() (in module scona.scripts.make_figures)
get_min_max_values() (in module scona.scripts.make_figures)
get_non_numeric_cols() (in module scona.make_corr_matrices)
get_random_graphs() (in module scona.make_graphs)
get_von_economo_color_dict() (in module scona.scripts.make_figures)
get_von_economo_shapes_dict() (in module scona.scripts.make_figures)
graph_at_cost() (in module scona.make_graphs)
GraphBundle (class in scona.classes)
I
import_data() (in module scona.datasets.NSPN_WhitakerVertes_PNAS2016)
is_anatomical_match() (in module scona.make_graphs)
is_nodal_match() (in module scona.make_graphs)
M
make_combo_figures() (in module scona.scripts.make_figures)
make_combo_hists() (in module scona.scripts.make_figures)
make_combo_matrix() (in module scona.scripts.make_figures)
make_combo_scatter() (in module scona.scripts.make_figures)
make_figures() (in module scona.scripts.make_figures)
mediation_figure() (in module scona.scripts.make_figures)
module
scona
scona.classes
scona.datasets
scona.datasets.NSPN_WhitakerVertes_PNAS2016
scona.graph_measures
scona.make_corr_matrices
scona.make_graphs
scona.scripts
scona.scripts.make_figures
scona.scripts.useful_functions
scona.scripts.visualisation_commands
scona.stats_functions
scona.wrappers
scona.wrappers.corrmat_from_regionalmeasures
scona.wrappers.network_analysis_from_corrmat
mt_degree_network_fig() (in module scona.scripts.make_figures)
N
network_analysis_from_corrmat() (in module scona.wrappers.network_analysis_from_corrmat)
network_summary_fig() (in module scona.scripts.make_figures)
nodal_ct_mt() (in module scona.scripts.make_figures)
nodal_matches() (scona.classes.GraphBundle method)
O
old_figure_1() (in module scona.scripts.make_figures)
old_figure_2() (in module scona.scripts.make_figures)
old_figure_3() (in module scona.scripts.make_figures)
P
parcellation_4horbrains() (in module scona.scripts.make_figures)
partial_r() (in module scona.stats_functions)
partial_volume_fig() (in module scona.scripts.make_figures)
participation_coefficient() (in module scona.graph_measures)
partition() (scona.classes.BrainNetwork method)
plot_anatomical_network() (in module scona.scripts.make_figures)
plot_circular_network() (in module scona.scripts.make_figures)
plot_degree_dist() (in module scona.scripts.make_figures)
plot_network_measures() (in module scona.scripts.make_figures)
plot_rich_club() (in module scona.scripts.make_figures)
plot_sagittal_network() (in module scona.scripts.make_figures)
prepare_violin_movie() (in module scona.scripts.make_figures)
pretty_scatter() (in module scona.scripts.make_figures)
R
random_graph() (in module scona.make_graphs)
read_in_data() (in module scona.scripts.useful_functions)
read_in_rich_club() (in module scona.scripts.make_figures)
report_global_measures() (scona.classes.GraphBundle method)
report_nodal_measures() (scona.classes.BrainNetwork method)
report_rich_club() (scona.classes.GraphBundle method)
report_small_world() (scona.classes.GraphBundle method)
rescale() (in module scona.scripts.make_figures)
(in module scona.scripts.visualisation_commands)
residuals() (in module scona.stats_functions)
results_matrix() (in module scona.scripts.make_figures)
rich_club() (in module scona.graph_measures)
(scona.classes.BrainNetwork method)
rich_edges_nodes() (in module scona.scripts.make_figures)
S
save_mat() (in module scona.make_corr_matrices)
scale_weights() (in module scona.make_graphs)
scona
module
scona.classes
module
scona.datasets
module
scona.datasets.NSPN_WhitakerVertes_PNAS2016
module
scona.graph_measures
module
scona.make_corr_matrices
module
scona.make_graphs
module
scona.scripts
module
scona.scripts.make_figures
module
scona.scripts.useful_functions
module
scona.scripts.visualisation_commands
module
scona.stats_functions
module
scona.wrappers
module
scona.wrappers.corrmat_from_regionalmeasures
module
scona.wrappers.network_analysis_from_corrmat
module
set_anatomical_graph_attributes() (scona.classes.BrainNetwork method)
set_anatomical_node_attributes() (scona.classes.BrainNetwork method)
set_centroids() (scona.classes.BrainNetwork method)
set_conn_types() (in module scona.scripts.make_figures)
set_parcellation() (scona.classes.BrainNetwork method)
setup_argparser() (in module scona.wrappers.corrmat_from_regionalmeasures)
(in module scona.wrappers.network_analysis_from_corrmat)
setup_color_list() (in module scona.scripts.make_figures)
shortest_path() (in module scona.graph_measures)
small_world_coefficient() (in module scona.graph_measures)
small_world_sigma() (in module scona.graph_measures)
T
threshold() (scona.classes.BrainNetwork method)
threshold_graph() (in module scona.make_graphs)
V
variance_partition() (in module scona.stats_functions)
view_corr_mat() (in module scona.scripts.visualisation_commands)
violin_add_laminae() (in module scona.scripts.make_figures)
violin_mt_depths() (in module scona.scripts.make_figures)
von_economo_boxes() (in module scona.scripts.make_figures)
von_economo_scatter() (in module scona.scripts.make_figures)
W
weighted_graph_from_df() (in module scona.make_graphs)
weighted_graph_from_matrix() (in module scona.make_graphs)
write_out_measures() (in module scona.scripts.useful_functions)
X
xyz_vs_measures() (in module scona.scripts.make_figures)
Z
z_score() (in module scona.graph_measures)