normKR - Normalization by Knight-Ruiz matrix balancingΒΆ
The Knight-Ruiz (KR) matrix balancing is a fast algorithm to normalize a symmetric matrix. A doubly stochastic matrix is obatined after this normalization. In this matrix, sum of rows and columns are equal to one.
Usage:
usage: gcMapExplorer normKR [-h] [-i input.gcmap] [-fi gcmap] [-o output.gcmap] [-fo gcmap] [-t 1e-12] [-m RAM] [-mscm 20000] [-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
Output 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.
-t 1e-12, --tolerance 1e-12
Tolerance for matrix balancing.
Smaller tolreance increases accuracy in sums of rows and columns.
-m RAM, --memory RAM The memory used for calculation. Acceptable keywords are 'RAM' or 'HDD'.
In case of RAM, memory is used for the calculation. In case of Disk, all
intermediate steps will use DIsk Drive to store intermediate data.
This option is ONLY VALID when input file is in ccmap format.
-mscm 20000, --map-size-ceiling-for-memory 20000
Maximum size of contact map allowed for calculation using RAM.
If map size or shape is larger than this value, normalization will be
performed using disk (HDD). This option is ONLY VALID when input file is in
gcmap format.
-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.