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Showing 11 open source projects for "tests"
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SPINA
Structure parameter inference approach for endocrine feedback control
SPINA is software for the rapid, reliable and accurate determination of constant structure parameters of endocrine feedback control systems. It is a class of static function tests that require nothing more than steady-state concentrations of hormones or metabolites obtained in vivo. The first version of this cybernetic approach had been developed for the evaluation of the functional status of the thyroid gland, i.e. thyroid's secretory capacity (gain of thyroid, GT or SPINA-GT) and sum activity of peripheral deiodinases (GD or SPINA-GD). ... -
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AntibiogramJ
AntibiogramJ is a Java program for the reading of antibiogram-images
...Citing AntibiogramJ: A. Alonso, C. Domínguez, J. Heras, E. Mata, V. Pascual, C. Torres, and M. Zarazaga. AntibiogramJ: a Tool for Analysing Images from Disk Diffusion Tests. Computer Methods and Programs in Biomedicine 143:159-169. 2017. DOI: http://dx.doi.org/10.1016/j.cmpb.2017.03.010 You can see more information about AntibiogramJ in https://sourceforge.net/p/antibiogramj/wiki/Home/ Several videos explaining the use of AntibiogramJ are available in https://sourceforge.net/p/antibiogramj/wiki/Videos/ AntibiogramJ includes now the EUCAST v.9.0. ... -
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JGAP is a Genetic Algorithms and Genetic Programming package written in Java. It is designed to require minimum effort to use, but is also designed to be highly modular. JGAP features grid functionality and a lot of examples. Many unit tests included. Legal notice/Impressum: Klaus Meffert An der Struth 25 D-65510 Idstein sourceforge <at> klausmeffert.de
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IMPACT_S
Integrated Multiprogram Platform Analyze & Combine Tests of Selection
Maldonado E, Sunagar K, Almeida D, Vasconcelos V, Antunes A (2014) IMPACT_S: Integrated Multiprogram Platform to Analyze and Combine Tests of Selection. PLoS ONE 9(10): e96243. doi: https://doi.org/10.1371/journal.pone.0096243 -
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Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional currently. ... -
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cmotif
A method for mining conditional phosphorylation motifs
...Although several algorithms have been proposed to uncover phosphorylation motifs, the problem of efficiently discovering a set of significant motifs with sufficiently high coverage and non-redundancy still remains unsolved. In this paper, we propose an algorithm called C-Motif for a non-redundant identification of significant phosphorylation motifs. In tests with real data including both non-kinase-specific and kinase-specific phosphorylation data, the C-Motif algorithm successfully reports a relatively complete set of of conditional phosphorylation motifs efficiently. -
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compare-results
Program comparing Simulation Results for the SBML TestSuite
Compare SBML Test Suite Results =============================== The [SBML Testsuite](http://sbml.org/Facilities/Online_SBML_Test_Suite) allows developers of ODE based simulators to test their implementation against a large number of test cases that test a wide aspect of the [SBML Specifications](http://sbml.org/Documents/Specifications). While implementing my simulator [RoadRunner](http://roadrunner.sf.net) I wanted to be able to compare it using a wider range of parameters: - filter for new tests - filter for tests with specific tags - mark elements that I know I did not implement -
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easyPAC
easy Primer prediction from Alignments and Consensus sequences
Primer prediction from alignments and consensus sequences. easyPAC applies all standard quality tests to degenerate primer and primer pairs and optionally maps all primer candidates to an arbitrary number of reference files like repeat databases or genomes to ensure target specifity. -
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GEM is a computational method for identification of transcription factor modulators, using expression datasets. The method tests if the correlation between factor and target gene depends on the expression of the modulator.
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Our software can test for HLA allele and amino-acid differences between two populations. It examines zygosity, tests for strongest association, interaction & linkage disequilibrium among amino acid epitopes.
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