Biorithm  1.1
Public Attributes
gengetopt_args_info Struct Reference

Where the command line options are stored. More...

#include <cmdline.h>

List of all members.

Public Attributes

const char * help_help
 Print help and exit help description.
const char * version_help
 Print version and exit help description.
float alpha_arg
 minimum size of cluster/number of points (default='0').
char * alpha_orig
 minimum size of cluster/number of points original value given at command line.
const char * alpha_help
 minimum size of cluster/number of points help description.
int anneal_flag
 do simulated annealing to improve clusters (default=off).
const char * anneal_help
 do simulated annealing to improve clusters help description.
int apriori_flag
 compute itemsets using the apriori algorithm (default=off).
const char * apriori_help
 compute itemsets using the apriori algorithm help description.
char * classes_arg
 input file for class information (default='').
char * classes_orig
 input file for class information original value given at command line.
const char * classes_help
 input file for class information help description.
char * config_arg
 file containing parameters and configuration information (default='').
char * config_orig
 file containing parameters and configuration information original value given at command line.
const char * config_help
 file containing parameters and configuration information help description.
float correlations_arg
 Compute correlations between pairs of genes using the argument as the threshold. If the absolute value of the threshold is at least 1 and less than 2, compute a histogram of all the correlations. If the absolute value of the threshold is at least two, compute a histogram of all the correlations by randomising the dataset; the absolute value of the threshold indicates the number of times to randomise. (default='1').
char * correlations_orig
 Compute correlations between pairs of genes using the argument as the threshold. If the absolute value of the threshold is at least 1 and less than 2, compute a histogram of all the correlations. If the absolute value of the threshold is at least two, compute a histogram of all the correlations by randomising the dataset; the absolute value of the threshold indicates the number of times to randomise. original value given at command line.
const char * correlations_help
 Compute correlations between pairs of genes using the argument as the threshold. If the absolute value of the threshold is at least 1 and less than 2, compute a histogram of all the correlations. If the absolute value of the threshold is at least two, compute a histogram of all the correlations by randomising the dataset; the absolute value of the threshold indicates the number of times to randomise. help description.
int flip_flag
 flip points and coordinates (default=on).
const char * flip_help
 flip points and coordinates help description.
int filter_flag
 filter data (default=off).
const char * filter_help
 filter data help description.
int gibbs_flag
 run Gibbs sampling (default=off).
const char * gibbs_help
 run Gibbs sampling help description.
int greedy_flag
 find clusters using a greedy algorithm (default=off).
const char * greedy_help
 find clusters using a greedy algorithm help description.
char * generate_arg
 output file for randomly generated clusters (default='').
char * generate_orig
 output file for randomly generated clusters original value given at command line.
const char * generate_help
 output file for randomly generated clusters help description.
char * input_arg
 input file for points and coordinates (default='').
char * input_orig
 input file for points and coordinates original value given at command line.
const char * input_help
 input file for points and coordinates help description.
int itemsets_flag
 compute frequent itemsets in the data (default=off).
const char * itemsets_help
 compute frequent itemsets in the data help description.
char * limit_arg
 input file for limiting xMotifs (for constrained biclustering) (default='').
char * limit_orig
 input file for limiting xMotifs (for constrained biclustering) original value given at command line.
const char * limit_help
 input file for limiting xMotifs (for constrained biclustering) help description.
int memory_flag
 conserve memory used (default=on).
const char * memory_help
 conserve memory used help description.
int min_flag
 minimise the size of the xMotifs (default=off).
const char * min_help
 minimise the size of the xMotifs help description.
int number_arg
 number of samples or genes to read (default='-1').
char * number_orig
 number of samples or genes to read original value given at command line.
const char * number_help
 number of samples or genes to read help description.
char * output_arg
 output results to file (default='').
char * output_orig
 output results to file original value given at command line.
const char * output_help
 output results to file help description.
int partition_flag
 compute disjoint xMotifs (default=on).
const char * partition_help
 compute disjoint xMotifs help description.
int significant_flag
 should every bounded dimension of a projective cluster be significant? (default=on).
const char * significant_help
 should every bounded dimension of a projective cluster be significant? help description.
int statistics_flag
 output statistics on the sizes of computed xMotifs. This option is useful for estimating the significance of xMotifs in real data. (default=off).
const char * statistics_help
 output statistics on the sizes of computed xMotifs. This option is useful for estimating the significance of xMotifs in real data. help description.
int test_flag
 execute tests (default=off).
const char * test_help
 execute tests help description.
int train_flag
 train the classifier (default=off).
const char * train_help
 train the classifier help description.
int verbose_arg
 print a lot of information about the results (default='1').
char * verbose_orig
 print a lot of information about the results original value given at command line.
const char * verbose_help
 print a lot of information about the results help description.
float width_arg
 maximum width of a bounded dimension (default='0').
char * width_orig
 maximum width of a bounded dimension original value given at command line.
const char * width_help
 maximum width of a bounded dimension help description.
int gaussian_flag
 use gaussian distribution as assumption for calculating significant intervals (default=off).
const char * gaussian_help
 use gaussian distribution as assumption for calculating significant intervals help description.
char * genes_arg
 read genes to use from file (default='').
char * genes_orig
 read genes to use from file original value given at command line.
const char * genes_help
 read genes to use from file help description.
char * gene_id_column_arg
 name of column containing gene/probe ids (default='').
char * gene_id_column_orig
 name of column containing gene/probe ids original value given at command line.
const char * gene_id_column_help
 name of column containing gene/probe ids help description.
char * gene_name_column_arg
 name of column containing gene names (default='').
char * gene_name_column_orig
 name of column containing gene names original value given at command line.
const char * gene_name_column_help
 name of column containing gene names help description.
char * ignore_column_name_arg
 name of column to ignore (default='').
char * ignore_column_name_orig
 name of column to ignore original value given at command line.
const char * ignore_column_name_help
 name of column to ignore help description.
char * ignore_row_name_arg
 name of row to ignore (default='').
char * ignore_row_name_orig
 name of row to ignore original value given at command line.
const char * ignore_row_name_help
 name of row to ignore help description.
float lb_arg
 lower threshold to use when filtering (default='1').
char * lb_orig
 lower threshold to use when filtering original value given at command line.
const char * lb_help
 lower threshold to use when filtering help description.
int log_flag
 transform points by taking logarithms per gene (default=off).
const char * log_help
 transform points by taking logarithms per gene help description.
int mc_arg
 maximum count of points in siginificant interval (default='-1').
char * mc_orig
 maximum count of points in siginificant interval original value given at command line.
const char * mc_help
 maximum count of points in siginificant interval help description.
float mh_arg
 minimum (class) homogeneity of a projective cluster (default='0').
char * mh_orig
 minimum (class) homogeneity of a projective cluster original value given at command line.
const char * mh_help
 minimum (class) homogeneity of a projective cluster help description.
float min_up_regulated_arg
 for cDNA or normalised microarray data, a gene is up-regulated if its expression value is at least this parameter (default='0').
char * min_up_regulated_orig
 for cDNA or normalised microarray data, a gene is up-regulated if its expression value is at least this parameter original value given at command line.
const char * min_up_regulated_help
 for cDNA or normalised microarray data, a gene is up-regulated if its expression value is at least this parameter help description.
float max_down_regulated_arg
 for cDNA or normalised microarray data, a gene is down-regulated if its expression value is at most this parameter (default='0').
char * max_down_regulated_orig
 for cDNA or normalised microarray data, a gene is down-regulated if its expression value is at most this parameter original value given at command line.
const char * max_down_regulated_help
 for cDNA or normalised microarray data, a gene is down-regulated if its expression value is at most this parameter help description.
int nb_arg
 number of best clusters to compute (default='1').
char * nb_orig
 number of best clusters to compute original value given at command line.
const char * nb_help
 number of best clusters to compute help description.
int nc_arg
 number of clusters to compute (default='-1').
char * nc_orig
 number of clusters to compute original value given at command line.
const char * nc_help
 number of clusters to compute help description.
int nm_arg
 number of motifs to compute (default='-2').
char * nm_orig
 number of motifs to compute original value given at command line.
const char * nm_help
 number of motifs to compute help description.
int nd_arg
 number of random discriminants (default='-1').
char * nd_orig
 number of random discriminants original value given at command line.
const char * nd_help
 number of random discriminants help description.
int sd_arg
 size of a discriminant (default='-1').
char * sd_orig
 size of a discriminant original value given at command line.
const char * sd_help
 size of a discriminant help description.
int ns_arg
 number of random seeds (default='1').
char * ns_orig
 number of random seeds original value given at command line.
const char * ns_help
 number of random seeds help description.
char * oi_arg
 output internal values to file (default='').
char * oi_orig
 output internal values to file original value given at command line.
const char * oi_help
 output internal values to file help description.
int pc_arg
 the maximum number of different xMotifs a sample can appear in (use with the -p option) (default='1').
char * pc_orig
 the maximum number of different xMotifs a sample can appear in (use with the -p option) original value given at command line.
const char * pc_help
 the maximum number of different xMotifs a sample can appear in (use with the -p option) help description.
float pv_arg
 maximum p-value to allow for interval (default='1').
char * pv_orig
 maximum p-value to allow for interval original value given at command line.
const char * pv_help
 maximum p-value to allow for interval help description.
char * rf_arg
 file containing ranges of widths for each gene/dimension (default='').
char * rf_orig
 file containing ranges of widths for each gene/dimension original value given at command line.
const char * rf_help
 file containing ranges of widths for each gene/dimension help description.
char * row_name_column_arg
 name of column containing row names (default='').
char * row_name_column_orig
 name of column containing row names original value given at command line.
const char * row_name_column_help
 name of column containing row names help description.
int shamir_flag
 run Sharon, Tanay, and Shamir's biclustering algorithm (default=off).
const char * shamir_help
 run Sharon, Tanay, and Shamir's biclustering algorithm help description.
float st_arg
 threshold for similarity of two xMotifs (they are similar if they have more than this fraction of points incommon). Use with the --nb option only. (default='0.5').
char * st_orig
 threshold for similarity of two xMotifs (they are similar if they have more than this fraction of points incommon). Use with the --nb option only. original value given at command line.
const char * st_help
 threshold for similarity of two xMotifs (they are similar if they have more than this fraction of points incommon). Use with the --nb option only. help description.
float ub_arg
 upper threshold to use when filtering (default='1').
char * ub_orig
 upper threshold to use when filtering original value given at command line.
const char * ub_help
 upper threshold to use when filtering help description.
int uniform_flag
 use uniform distribution as assumption for calculating significant intervals (default=off).
const char * uniform_help
 use uniform distribution as assumption for calculating significant intervals help description.
char * wf_arg
 file containing significant intervals for each gene/dimension (default='').
char * wf_orig
 file containing significant intervals for each gene/dimension original value given at command line.
const char * wf_help
 file containing significant intervals for each gene/dimension help description.
unsigned int help_given
 Whether help was given.
unsigned int version_given
 Whether version was given.
unsigned int alpha_given
 Whether alpha was given.
unsigned int anneal_given
 Whether anneal was given.
unsigned int apriori_given
 Whether apriori was given.
unsigned int classes_given
 Whether classes was given.
unsigned int config_given
 Whether config was given.
unsigned int correlations_given
 Whether correlations was given.
unsigned int flip_given
 Whether flip was given.
unsigned int filter_given
 Whether filter was given.
unsigned int gibbs_given
 Whether gibbs was given.
unsigned int greedy_given
 Whether greedy was given.
unsigned int generate_given
 Whether generate was given.
unsigned int input_given
 Whether input was given.
unsigned int itemsets_given
 Whether itemsets was given.
unsigned int limit_given
 Whether limit was given.
unsigned int memory_given
 Whether memory was given.
unsigned int min_given
 Whether min was given.
unsigned int number_given
 Whether number was given.
unsigned int output_given
 Whether output was given.
unsigned int partition_given
 Whether partition was given.
unsigned int significant_given
 Whether significant was given.
unsigned int statistics_given
 Whether statistics was given.
unsigned int test_given
 Whether test was given.
unsigned int train_given
 Whether train was given.
unsigned int verbose_given
 Whether verbose was given.
unsigned int width_given
 Whether width was given.
unsigned int gaussian_given
 Whether gaussian was given.
unsigned int genes_given
 Whether genes was given.
unsigned int gene_id_column_given
 Whether gene-id-column was given.
unsigned int gene_name_column_given
 Whether gene-name-column was given.
unsigned int ignore_column_name_given
 Whether ignore-column-name was given.
unsigned int ignore_row_name_given
 Whether ignore-row-name was given.
unsigned int lb_given
 Whether lb was given.
unsigned int log_given
 Whether log was given.
unsigned int mc_given
 Whether mc was given.
unsigned int mh_given
 Whether mh was given.
unsigned int min_up_regulated_given
 Whether min-up-regulated was given.
unsigned int max_down_regulated_given
 Whether max-down-regulated was given.
unsigned int nb_given
 Whether nb was given.
unsigned int nc_given
 Whether nc was given.
unsigned int nm_given
 Whether nm was given.
unsigned int nd_given
 Whether nd was given.
unsigned int sd_given
 Whether sd was given.
unsigned int ns_given
 Whether ns was given.
unsigned int oi_given
 Whether oi was given.
unsigned int pc_given
 Whether pc was given.
unsigned int pv_given
 Whether pv was given.
unsigned int rf_given
 Whether rf was given.
unsigned int row_name_column_given
 Whether row-name-column was given.
unsigned int shamir_given
 Whether shamir was given.
unsigned int st_given
 Whether st was given.
unsigned int ub_given
 Whether ub was given.
unsigned int uniform_given
 Whether uniform was given.
unsigned int wf_given
 Whether wf was given.

Detailed Description

Where the command line options are stored.


The documentation for this struct was generated from the following file:
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