amutils.compute_exp_group_summary_stats_by_protein(arr_df, prot_names, prot_strs, group_inds, ind_dict)
raw_group_medians, raw_group_stds = \
amutils.compute_exp_group_summary_stats_by_protein(raw_arr_df, prot_names, prot_strs, group_inds, ind_dict)
"""Data Visualzation:"""
"""Responses by groups:"""
"""
1. Median responses by group:
Plot figures of median responses by treatment group - Note here names are from prot_strs and NOT prot_names
"""
for p in ['VN1203', 'Indo05']:
amp.plot_median_responses_by_exp_groups(raw_group_medians, exp_groups, prot_str=p,
fig_path=fig_path, fig_prefix='Raw_', fig_size=(18,11), y_lims=[0, 50000])
for p in ['VN1203', 'Indo05']:
amp.plot_median_responses_by_exp_groups(group_medians, ['D21', 'D42'], prot_str=p,
fig_path=fig_path, fig_prefix=None, fig_size=(18,11), y_lims=[0, 10000])
"""
2. Raw responses by group:
Plot responses by groups for each protein separately - groups can be prot_strs, or any subset of these:
the second list is prot_strs for figure titles.
you can use this for all proteins:
for p, s in zip(prot_names, prot_strs):
"""
"""Data Visualzation:""" """Responses by groups:""" """ 1. Median responses by group: Plot figures of median responses by treatment group - Note here names are from prot_strs and NOT prot_names """ # for p in ['EBOV-GP']: # amp.plot_median_responses_by_exp_groups(raw_group_medians, exp_groups, prot_str=p, # fig_path=fig_path, fig_prefix='Raw_', fig_size=(18,11), y_lims=[0, 50000]) for p in ['EBOV-GP']: amp.plot_median_responses_by_exp_groups(group_medians, exp_groups, prot_str=p, fig_path=fig_path, fig_prefix=None, fig_size=(18,11), y_lims=[0, 10000]) """ 2. Raw responses by group: Plot responses by groups for each protein separately - groups can be prot_strs, or any subset of these: the second list is prot_strs for figure titles. you can use this for all proteins: for p, s in zip(prot_names, prot_strs): """ # for p in ['EBOV-GP']: # amp.plot_responses_by_exp_groups(arr_df=raw_arr_df, antigen_inds = ind_dict[p], # exp_groups=exp_groups, fig_path=fig_path, fig_prefix=p + '_Raw', y_lims=y_lims) for p in ['EBOV-GP']:
