Usage: aracne [OPTION] ... Standard ARACNe arguments: -i Input gene expression profile dataset -o Output file name (optional) [*] -j Existing adjacency matrix (.adj) file -a Algorithm (fixed_bandwidth|variable_bandwidth|adaptive_partitioning), default: fixed_bandwidth -k Kernel width (accurate method only), default: determined by program -t MI threshold, default: 0 -p P-value for MI threshold (e.g. 1e-7), default: 1 [**] -e DPI tolerance, default: 1 -h Hub gene (only MI w/ hub gene will be computed), default: NONE -r Use resampling of arrays -s A file containing a list of probes for which a subnetwork will be constructed, default: NONE -l A file containing a list of probes annotated as transcription factors in the input dataset, default: NONE [***] -c <+/-probeId %> Conditional network reconstruction, default: NONE [****] [format: "+24 0.35", "-1973_s_at 0.4"] -f Gene filter by the mean and coefficient of variance (cv) of the expression values, default: mean=0, cv=0 -H To specify where the ARACNE configuration files locates, default: current working directory --help Display this help and exit [*] If no output file is specified by the user, an output will be automatically generated in the same directory as the input file by appending some of the parameter values, such as kernel width, MI threshold, tolerance and so on, at the end of the input file name, and changing the file extension to ".adj". [**] If the "-t" option is supplied, it will enforce the program to use the specified MI threshold, therefore the "-p" option will be ignored. Otherwise, the program will automatically determines the MI threshold given the p-value. The default, p-value=1, will preserve all pairwise MI. [***] This option is ideal for transcriptional network reconstruction. If provided, DPI will not remove any connection of a transcription factor (TF) by connections between two probes not annotated as TFs. This option is often used in conjunction with '-s', which specifies a list of probes that are either the same or a subset of the probes specified by '-l'. [****] Conditional network reconstructs the network given a specified probe being most expressed or least expressed. In the format that follows "-c", "probeId" indicate the probe to be conditioned on; "+" or "-" specify whether the upper or lower tail of the probe's expression should be used as the condition, and "%" is a percentage between (0, 1) specifying the proportion of samples used as the conditioning subset. Example useage:"-c +24 0.35", "-c -1973_s_at 0.4".