gnw | intuitive Java application developed for the generation | Machine Learning library
kandi X-RAY | gnw Summary
kandi X-RAY | gnw Summary
numerous methods have been developed for reverse engineering gene regulatory networks from expression data. unraveling and modeling these networks is of primary importance for improving our understanding of biological organisms. however, both their absolute and comparative performance remain poorly understood. the aim of this project is to provide benchmarks and tools for rigorous testing of methods for gene network inference. our framework is available as an open-source and intuitive java software called genenetweaver (gnw). gnw is the first tool that provides methods for both in silico benchmark generation and performance profiling of network inference algorithms. gnw has been developed to easily generate detailed models of gene regulatory networks. one of the main advantages of using in silico is that perturbation experiments can be
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Top functions reviewed by kandi - BETA
- Initialize the frame
- Checks if the user can use the default mail client
- Open the default mail client
- Checks if the default browser can be used
- Initialize the UI
- Load a gene network from a file
- This method counts the number of motifs
- Recursively unzip a file
- Computes the production rate of a gene
- Returns the expression matrix as a String array
- Saves the model to a file
- Get the expression matrix to be formatted as a String array
- Computes the drift coefficients for the trajectory
- Initialization for stochastic simulation
- Set the parameters to be tested
- Save motifs definition to file
- Invoked when an item is released
- Initialize the motif ids
- Initialize the rank of the graph
- Initialize the resources
- Run the simulation
- This method initializes the regulation functions
- Save the motif scores
- Generate the parameters
- Set the actions
- Add tooltips to the window
gnw Key Features
gnw Examples and Code Snippets
Community Discussions
Trending Discussions on gnw
QUESTION
I'm trying to receive stock data for about 1000 stocks, to speed up the process I'm using multiprocessing, unfortunately due to the large amount of stock data I'm trying to receive python as a whole just crashes.
Is there a way to use multiprocessing without python crashing, I understand it would still take some time to do all of the 1000 stocks, but all I need is to do this process as fast as possible.
...ANSWER
Answered 2021-Jan-31 at 19:18Ok, here is one way to obtain what you want in about 2min. Some tickers are bad, that's why it crashes.
Here's the code. I use joblib for threading or multiprocess since it doesn't work in my env. But, that's the spirit.
QUESTION
My aim is to download stock prices using the quantmod library for a large number of ticker symbols (~700) and merge the results in a single dataframe which I will save as a csv file. I have a list of ticker symbols but not all of them are downloadable by quantmod.
So when I pass the list with the ticker symbols to the getSymbols() method, once it encounters a problem with a particular ticker symbol it stops and returns an exception. I am trying to circumvent this behavior with a for loop and the try method, but I fail.
Let's look at some code:
When I try to download two ticker symbols that are downloadable and then merge them into one xts object I succeed:
...ANSWER
Answered 2019-Apr-18 at 08:59Here is a code I tried. It seems working (although I tried only a subset of the vector):
QUESTION
I am overlaying a barchart on a candlestick plot, all data is referenced from the same data frame. I want to sort the data ascending from the bar chart data but cannot find any guide to help with an overlay. Has anyone gotten this to work? I've attached the current output but want the grey bars sorted.
...ANSWER
Answered 2019-Jan-09 at 16:49The order of the categories on the x-axis can be controlled using categoryorder
as follows:
QUESTION
I have 50 observations as rows and columns with variable values. For each observation, I use fsolve
to solve for the unknown variable q_iz
. I'm trying to use LOOP. I have solved it for 1st row but MATLAB throws an error when it is going to 2nd row. Also, I want to store the solved value of k
in (50,1)
dimension.
I'm presenting a simpler code to represent the problem as follows:
...ANSWER
Answered 2017-Aug-11 at 19:05You have passed a scalar k0(c,1)
to your function qiz
. In that function you try to access k(c,1)
and get the error stating as much.
FZERO cannot continue because user supplied function_handle ==> qiz failed with the error below. Attempted to access k(2,1); index out of bounds because numel(k)=1.
The error is telling you that k
is a scalar with numel(k)=1
. That is the first error. The second is that within the function qiz
you are reassigning the value of c
. You defined c
as global
and then use it as the index in the second loop. When qiz
ends the value for c
is now 51. That is out of bounds for the k0
vector. Try to always use variable names that mean something to avoid this error.
Here is a working (error free) version.
QUESTION
With ActiveSheet
lastrow = .Cells(.Rows.Count, "A").End(xlUp).Row
MsgBox lastrow
End With
...ANSWER
Answered 2017-Jul-13 at 07:33I don't know if this satisfies you:
QUESTION
I have a table named region having two columns : having region_id is primary key
...ANSWER
Answered 2017-Feb-15 at 05:55you missed group by in your syntax
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gnw
You can use gnw like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the gnw component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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