Search Results for "windows kernel program"
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Showing 4 open source projects for "windows kernel program"
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1
gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
... * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data using GSA-SNP2", Nucleic Acids Research, Vol. 46(10), e60(2018). * PubMed ID: 29562348 * DOI: 10.1093/nar/gky175 -> PLEASE MOVE OR MAKE A COPY OF 'DATA' FOLDER INTO YOUR INTENSIVE TEST FOLDER (I.E. LINUX, MAC OR WINDOWS SPECIFIED FOLDER) TO ALLOW THE PROGRAM TO FIND THE PREDESIGNED DATA. * UPDATE NOTE: -> Sep-1-2020: add an update for Ubuntu-20.04. You will need Boost library installed (sudo apt-get install libboost-all-dev) -> Mar-7-2018: revise header terms in the output file -
2
MandelbrotExplorer
A program to calculate and represent the Mandelbrot set
This project is a C++ program to calculate and represent graphically the Mandelbrot fractal set, and/or the corresponding Julia sets, according to the seed Z0 given by the user as input. The user disposes of a graphical interface to control the program and modify conveniently some parameters, like the XY-scales, the XY map area, the Julia seed for the complex series iteration of Z(n+1)=Z(n)^2+a, being Z(0)=(X0,Y0) the seed, and "a in XY" the points to be calculated. The user can... -
3
Statistics Calculator
Fast and Efficient Statistics Calculator
A simple program that calculates the mean, mode, range, quartiles and standard deviation of a set of input numbers. -
4
Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation... -
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