# normIC - Normalization by Iterative Correction¶

This method normalize the raw contact map by removing biases from experimental procedure. This is an method of matrix balancing, however, in the normalized, sum of rows and columns are not equal to one.

Usage:

usage: gcMapExplorer normIC [-h] [-i input.gcmap] [-fi gcmap]
[-o output.gcmap] [-fo gcmap] [-t 0.0001]
[-vmax VMAX] [-vmin VMIN] [-c 500] [-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, output 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, output file can be gcmap. However, when a input file
is gcmap, output file will be only in gcmap.

-t 0.0001, --tolerance 0.0001
Tolerance for matrix balancing.
Smaller tolerance increases accuracy in sums of rows and columns.

-vmax VMAX, --maximum-value VMAX
Minimum threshold value for normalization.
If contact frequency is less than or equal to this threshold value,
this value is discarded during normalization.

-vmin VMIN, --minimum-value VMIN
Maximum threshold value for normalization.
If contact frequency is greater than or equal to this threshold value,
this value is discarded during normalization.

-c 500, --iteration 500
Number of iteration to stop the normalization.

-ptnd 99, --percentile-threshold-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, --threshold-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