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A volcano plot is constructed by plotting the negative logarithm of the p value on the y axis (usually base 10). This results in data points with low p values (highly significant) appearing toward the top of the plot. The x axis is the logarithm of the fold change between the two conditions. The logarithm of the fold change is used so that ...
IDL, short for Interactive Data Language, is a programming language used for data analysis. It is popular in particular areas of science, such as astronomy, atmospheric physics and medical imaging. [citation needed] IDL shares a common syntax with PV-Wave and originated from the same codebase, though the languages have subsequently diverged in ...
An unpublished computational program written in Pascal called Abra inspired this open-source software. Abra was originally designed for physicists to compute problems present in quantum mechanics. Kespers Peeters then decided to write a similar program in C computing language rather than Pascal, which he renamed Cadabra. However, Cadabra has ...
Maple is a symbolic and numeric computing environment as well as a multi-paradigm programming language. It covers several areas of technical computing, such as symbolic mathematics, numerical analysis, data processing, visualization, and others. A toolbox, MapleSim, adds functionality for multidomain physical modeling and code generation.
Volcano plot may refer to: . Sabatier principle - a concept in chemical catalysis that relates the optimal concentrations of catalysts and substrates; Volcano plot (statistics) - a type of graph used to relate fold-change to p-value that is commonly used in genomics and other omic experiments involving thousands of data-points
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With languages that feature dynamic dispatch (i.e. Java or C++), [5] first-class functions (i.e. Python or Racket), or function pointers (i.e. C), computing a static call graph precisely requires alias analysis results. Conversely, computing precise aliasing requires a call graph.
DESMO-J provides a comprehensive set of readily usable Java classes [2] for stochastic distributions, static model components (like queues or resource synchronization), time representation and scheduling, experiment conduction and reporting. Supported by this simulation infrastructure, the user is free to concentrate on specifying the model's ...