back_project | back_project |
calculate_model | ' select the best model function |
count_studies | count_studies |
create_door_database | Compose a Response Matrix of All Odor Receptors |
door_default_values | default values for DoOR functions |
DoOR.functions.package | DoOR Functions |
door_norm | rescale the data values from 0 to 1 |
dplot_across_osns | dplot_across_osns |
dplot_across_ru | dplot_across_ru |
dplot_al_map | dplot_al_map |
dplot_compare_profiles | Compare two response profiles |
dplot_response_matrix | dplot_response_matrix |
dplot_response_profile | dplot_response_profile |
dplot_tuningCurve | dplot_tuningCurve |
estimate_missing_value | Estimate the missing entries in a response data |
export_door_data | export data |
get_dataset | getDataset |
get_normalized_responses | Find normalised receptor responses |
get_responses | Find receptor responses |
identify_sensillum | identify_sensillum |
import_new_data | Import new data into DoOR |
load2list | load2list |
map_receptor | map_receptor |
model_response | Generates a model response |
model_response_seq | model_response_seq |
private_odorant | private_odorant |
project_points | project_points |
remove_study | Remove a study from DoOR |
reset_sfr | reset SFR |
select_model | compute the data pairwise and and selects a pair with the... |
sparse | Calculate the sparseness of a vector. |
trans_id | trans_id |
update_door_database | update response matrix |
update_door_odorinfo | update_door_odorinfo |
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