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Command line
As of 1.3.0 inference is fully accessible from command line, but fit evaluation is not. You can download the command-line version from the releases page. The command line version is also the one used from the (slightly hacky) Matlab interface
There are two methods to choose an OpenCL device for use with Genexpi. You can either pass -cpu
or -gpu
flags to indicate you prefer computation on the CPU/GPU respectively. Alternatively you can first run
java -jar genexpi-standalone.jar --list-devices
To show a list of available devices and their IDs and then pass --device ID
to use the device with the given ID. The best devices to use with CyGenexpi are (in the following order):
- A dedicated graphics card (GPU) for computing (not connected to a display)
- A Xeon Phi card
- Your processor (CPU)
- A GPU connected to a display
While GPUs will run Genexpi the fastest,
using a GPU connected to a display is discouraged as it interferes with the operating system (OS) and may cause your computer to freeze and/or the computations
to be reset by the operating system.
If you really want to use a GPU connected to a display, pass the --prevent-full-occupation
flag, which tries to keep the GPU available to the OS at the cost of reduced performance.
On Windows, you may instead disable TDR - Timeout detection and recovery (expert only).
If the list is empty or you do not see the hardware you want to use:
- For GPUs, try updating your device driver
- For CPUs (the usual processors), you need to install specific drivers. As of 2016-10-10, drivers for Intel CPUs can be downloaded at http://software.intel.com/en-us/articles/opencl-drivers - look for “runtime-only”. AMD’s drivers can be found at http://support.amd.com/en-us/kb-articles/Pages/OpenCL2-Driver.aspx.
To use Genexpi from the command line, you need three files and you need to choose a model.
As of version 1.3, only two classes of models are supported: NoRegulator
and Additive
. In the NoRegulator
model, genes are tested whether they can be fit with constant synthesis over time. Additive
is the main model and expects additive regulatory effects from various regulators. When using the Additive
model it is necessary to specify the number of regulators (--num-regulators N
) and it is possible to include constitutive expression (a constant regulatory term) in the model as well (--constitutive
).
The three input files to Genexpi command line are:
- names_file Contains the names of the genes you have time-series data for. One name per line.
- profiles_file A CSV file, without header. Each line gives the expression profile of one gene in the same order as in the names_file. The samples are expected to be ordered by time with equal time intervals in between.
-
tasks_file Uses the names given in names_file to describe which inferences should be made. The contents depends on the model used:
a.
NoRegulator
model: One gene name per line - those genes are tested for the constant synthesis model. b.Additive
model: A CSV file without headers. Each line represents a task, the first column contains the target gene, the rest of the columns contain the regulators. The number of columns has to benum_regulators + 1
. c.Cooperative
model: A CSV file without headers. Each line represents a task, the first column contains the target gene, the two next columns contain names of genes that form a complex regulating the target (the file has to have exactly 3 columns).
Note that the names_file and profiles_file can be reused across multiple invocations with different model and tasks.
You can test Genexpi command line with a set of sample input files.
The output file (created automatically or specified via the --output-file
parameter) is a CSV file with header, containing one row for each task. The columns correspond to the target gene, regulators (if any), parameters of the best fitted model and the residual error of the best fitted model.
- For the
NoRegulator
model, the parameters are synthesis and decay - For the
Additive
model, the parameters are k1 (maximal synthesis), k2 (decay rate), b (bias of the regulator function) and w1 ... wN weights of individual regulators. (If only one regulator is present, the parameter is simply w). - For the
Cooperative
model, the parameters are k1 (maximal synthesis), k2 (decay rate), b (bias of the regulator function), w (weight of regulatoin) and eq (equilibrium constant for the regulator complex).
Here is a copy of the help included in the program:
usage: java -jar genexpi-standalone.jar names_file profiles_file
tasks_file -m <model> [OPTIONS]
-c,--constitutive Use constitutive expression in the model
(relevant only for the Additive model)
-cpu Prefer CPU OpenCL platforms
-dev,--device <arg> ID of OpenCL device to use (as returned
by --list-devices)
-e,--error <arg> Use given error function. For Additive
model, it can be one of [Euler, RK4,
DerivativeDiff], default is Euler.
-g,--num-regulators <arg> Number of regulators (relevant only for
the Additive model).
-gpu Prefer GPU OpenCL platforms
-l,--loss <arg> Use given loss function. One of [Abs,
Squared], default is Squared
-ldev,--list-devices List all available OpenCL devices
-m,--model <arg> Use given regulatory model. One of
[NoRegulator, Additive, Cooperative],
default is additive.
--method <arg> Use given optimization method. One of
[Annealing]
-n,--num-iterations <arg> Use given number of iterations, default
is 256
-o,--output-file <arg> Use given file for output. If not given
a file name is created based on method,
model, error and loss functions
-pfo,--prevent-full-occupation Prevent full occupation of the OpenCL
device. Keeps the computer responsive
when computing on the GPU that runs the
main display.
-r,--regularization <arg> The weight of regularization, default is
0.
-step,--time-step <arg> Time step between the individual time
points (default is 1).
-w,--weight-constraints <arg> Optional file containing weight
constraints (+/-1 to restrict to
positive/negative regulations or 0 for
no constraints) for each regulator in
each task.
Applicable only for the Additive model.