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author | Hui Lan <lanhui@zjnu.edu.cn> | 2019-12-04 19:03:19 +0800 |
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committer | Hui Lan <lanhui@zjnu.edu.cn> | 2019-12-04 19:03:19 +0800 |
commit | 97fdefab064f63642fa3ece05b807d29b459df31 (patch) | |
tree | a058530023224f3e35b1783996f3530c80c04bc5 /Code/process_3way_interaction.py |
brain: add python and R code to local repository.
Diffstat (limited to 'Code/process_3way_interaction.py')
-rw-r--r-- | Code/process_3way_interaction.py | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/Code/process_3way_interaction.py b/Code/process_3way_interaction.py new file mode 100644 index 0000000..0be9b59 --- /dev/null +++ b/Code/process_3way_interaction.py @@ -0,0 +1,48 @@ +# Purpose: convert results from three-way interaction analysis to edge format. +# Usage: python process_3way_interaction.py output20160911.txt > edges.txt.interaction.wiggelab.timecourse +# Create on 9 Aug 2019 by Hui Lan <lanhui@zjnu.edu.cn> + +from geneid2name import make_gene_name_AGI_map_dict, get_gene_name + +def get_2tf_1target_1score(s): + ''' + s looks like 'AT1G73870_AT1G73870, AT5G10570_AT5G10570, AT2G05100_LHCB2.1 19.287 | 0.843 0.998 0.155 | -0.915 0.924 1.839 | 0.918 -0.419' + ''' + lst = s.split() + tf1 = lst[0].split('_')[0] + tf2 = lst[1].split('_')[0] + target = lst[2].split('_')[0] + score = lst[3] + return (tf1, tf2, target, score) + + +## main +import sys +from datetime import datetime + +f = open(sys.argv[1]) +lines = f.readlines() +f.close() + + +agi2name_dict = make_gene_name_AGI_map_dict('../Data/information/AGI-to-gene-names_v2.txt') + +result = '' +for line in lines: + line = line.strip() + tf1, tf2, target, interaction_score_str = get_2tf_1target_1score(line) + target_str = target + ' ' + get_gene_name(target, agi2name_dict) + tf1_str = tf1 + ' ' + get_gene_name(tf1, agi2name_dict) + tf2_str = tf2 + ' ' + get_gene_name(tf2, agi2name_dict) + score_str = '0.5' + cond_str = '.' + curr_date = datetime.now().strftime('%Y%m%d') + method_or_tissue = 'interact.with.%s' % (tf2 + '(' + get_gene_name(tf2, agi2name_dict) + ')') + s = '\t'.join([target_str, tf1_str, score_str, 'mix', '15', cond_str, '.', curr_date, interaction_score_str.replace('-',''), method_or_tissue]) + result += s + '\n' + method_or_tissue = 'interact.with.%s' % (tf1 + '(' + get_gene_name(tf1, agi2name_dict) + ')') + s = '\t'.join([target_str, tf2_str, score_str, 'mix', '15', cond_str, '.', curr_date, interaction_score_str.replace('-',''), method_or_tissue]) + result += s + '\n' + + +print(result) |