m6anet inference result format

[sunsetyerin]

I'm getting m6anet inference table with the following result called data.result.csv.gz

''' transcript_id,transcript_position,n_reads,probability_modified,kmer ENST00000611116,9,95,0.17386298,GAACC ENST00000611116,15,90,0.33967417,TGACC ENST00000611116,39,90,0.5680754,AGACT ENST00000611116,54,76,0.5067585,TGACA ENST00000611116,92,92,0.0128501775,AAACA '''

_I wonder how can I get "data.indiv_proba.csv" result?_

These files are m6anet_dataprep directory includes (This is different from m6anet documentation so kind of confusing too) data.index data.json data.log data.readcount eventaling.index

This is how eventalign.txt looks like ''' contig position reference_kmer read_index strand event_index event_level_mean event_stdv event_length model_kmer model_mean model_stdv standardized_level start_idx end_idx ENST00000611116.2 0 ATATC 0 t 1347 86.91 3.681 0.00267 ATATC 83.15 2.63 1.18 63711 63719 ENST00000611116.2 0 ATATC 0 t 1348 79.40 2.186 0.00233 ATATC 83.15 2.63 -1.18 63704 63711 ENST00000611116.2 0 ATATC 0 t 1349 84.75 3.699 0.00567 ATATC 83.15 2.63 0.50 63687 63704 ENST00000611116.2 0 ATATC 0 t 1350 80.07 2.174 0.00700 ATATC 83.15 2.63 -0.97 63666 63687 ENST00000611116.2 1 TATCC 0 t 1351 87.99 6.781 0.00233 TATCC 94.26 5.70 -0.91 63659 63666 '''

[chrishendra93]

hi @sunsetyerin , as I have mentioned in Issue #98 , you cannot get data.indiv_proba.csv because you are using the version of m6anet that does not have that functionality. Can you try the one from github or the latest m6anet version from pypi instead?

Thanks!