normMCFS - Scale maps using Median/Mean Contact Frequency

This method can be used to normalize contact map using Median contact values for particular distance between two locations/coordinates. At first, Median distance contact frequency for each distance is calculated. Subsequently, the observed contact frequency is divided by median contact frequency obtained for distance between the two locations.

Usage:

usage: gcMapExplorer normMCFS [-h] [-i input.gcmap] [-fi gcmap]
                              [-o output.gcmap] [-fo gcmap] [-s median]
                              [-ptnd 99] [-tdo 0.8] [-cmeth lzf]
                              [-wd /home/rajendra/deskForWork/scratch]

Optional arguments:

-h, --help            show this help message and exit
-i input.gcmap, --input input.gcmap
                       Input ccmap or gcmap file.

-fi gcmap, --format-input gcmap
                       Input format: 'ccmap' or 'gcmap'.

-o output.gcmap, --output output.gcmap
                       Output ccmap or gcmap file.

                      When input file is ccmap, ouput file can be gcmap. However, when a input file
                      is gcmap, output file will be only in gcmap.

-fo gcmap, --format-output gcmap
                       Input format: 'ccmap' or 'gcmap'.

                      When input file is ccmap, ouput file can be gcmap. However, when a input file
                      is gcmap, output file will be only in gcmap.

-s median, --stats median
                       Statistics to be considered for scaling.
                      It may be either “mean” or “median”. By default, it is “median”.

-ptnd 99, --percentile-thershold-no-data 99
                       It can be used to filter the map, where rows/columns with largest numbers
                      of missing data can be discarded. Its value should be between 1 and 100.
                      This options discard the rows and columns which are above this percentile.
                      For example: if this value is 99, those rows or columns will be discarded which
                      contains larger than number of zeros (missing data) at 99 percentile.

                      To calculate percentile, all blank rows are removed, then in all rows, number
                      of zeros are counted. Afterwards, number of zeros at input percentile is
                      obtained. In next step, if a row contain number of zeros larger than this
                      percentile value, the whole row and column is assigned to have missing data.
                      This percentile indicates highest numbers of zeros (missing data) in given
                      rows/columns.

-tdo 0.8, --thershold-data-occupancy 0.8
                       It can be used to filter the map, where rows/columns with largest numbers
                      of missing data can be discarded.This ratio is:
                        (number of bins with data) / (total number of bins in the given row/column)

                      For example: if -tdo = 0.8, then all rows containing more than 20% of
                      missing data will be discarded.

-cmeth lzf, --compression-method lzf
                      Data compression method for output gcmap file.
-wd /home/rajendra/deskForWork/scratch, --work-dir /home/rajendra/deskForWork/scratch
                      Directory where temporary files will be stored.