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The weight of each track is by default the ratio between the maximum number of data points in a track and the number of data point in the given track. In other words, it gives more weights to the tracks with the least data points.
It would be useful for the users to control the weights when the defaults are not appropriate. For example, one could set equal weights to all the tracks, or a higher weight to a transcription factor of interest.
Given the current Segway command line interface, the simplest implementation would make use of the --tracks-from option. This option takes as input a file with one column and the rows contain the track names. One could add a column “weight” to this file to specify the weight of each track.
The then the weight information should be passed to the structure.py module and make_mapping method. Any comments regarding how to pass the weight information are welcome.
Note that the weights should be added to the train.tab file.
The text was updated successfully, but these errors were encountered:
Original report (BitBucket issue) by Mickaël Mendez (Bitbucket: Mickael Mendez).
The weight of each track is by default the ratio between the maximum number of data points in a track and the number of data point in the given track. In other words, it gives more weights to the tracks with the least data points.
It would be useful for the users to control the weights when the defaults are not appropriate. For example, one could set equal weights to all the tracks, or a higher weight to a transcription factor of interest.
Given the current Segway command line interface, the simplest implementation would make use of the --tracks-from option. This option takes as input a file with one column and the rows contain the track names. One could add a column “weight” to this file to specify the weight of each track.
The then the weight information should be passed to the structure.py module and make_mapping method. Any comments regarding how to pass the weight information are welcome.
Note that the weights should be added to the train.tab file.
The text was updated successfully, but these errors were encountered: