Software Listing: Hypotheses
- Hanalyzer
- License: Freeware
- Price: 0.00

The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization..
- Publisher: hanalyzer.sourceforge.net
- Date: 01-05-2012
- Size: 91 KB
- Platform: Linux, Mac OS X, WinOther
- Nexist
- License: Freeware
- Price: 0.00

Nexist is being developed based on a few hypotheses regarding Topic Maps (XTM) as an interface to a collaborative knowledge repository system. Nexist is a reference implementation for further collaborative development..
- Publisher: nexist.sourceforge.net
- Date: 19-05-2012
- Size: 367 KB
- Platform: Linux, Mac OS X, Unix, WinOther
- OBOES
- License: Freeware
- Price: 0.00

OBOES (Open Biomedical Ontology-Based Enrichment and Search) is an information-theory-based platform that embeds new integrative methods allowing biologists to evaluate new hypotheses..
- Publisher: oboes.sourceforge.net
- Date: 25-08-2012
- Size: 57 KB
- Platform: Linux, Mac OS X, WinOther
- Probe Deeper PHP
- License: Freeware
- Price: 0.00

Probe Deeper PHP will provide class libraries for simple and advanced statistical analyses, including multiple regression, forecasting, hypotheses testing, etc..
- Publisher: probedeeper.sourceforge.net
- Date: 06-07-2012
- Size: 17 KB
- Platform: Linux, Mac OS X, WinOther
- psignifit
- License: Freeware
- Price: 0.00

psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python..
- Publisher: psignifit.sourceforge.net
- Date: 20-09-2012
- Size: 1985 KB
- Platform: Linux, Mac OS X
- skekurtest
- License: Shareware

This function deals with the univariate hypotheses test concerning skewness and kurtosis. It needs to input data vector, direction of tests (1 = one-tailed; 2 = two-tailed)[default = 2], and significance level (default = 0.05).Immediately it outputs, for an one-tailed hypothesis whether or not the skewness to left or rigth were met. As well as whether or not the kurtosis to left or rigth were met.In case of a two-tailed hypothesis, whether or not the skewness and kurtosis were met..
- Publisher: Antonio Trujillo-Ortiz
- Date: 20-04-2013
- Size: 10 KB
- Platform: Matlab, Scripts
- nBoost
- License: Freeware
- Price: 0.00

nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
nBoost License - GNU General Public License (GPL).
- Publisher: Nboost
- Date:
- Platform: WinOther
- Analyse-it! Standard Edition
- License: Shareware
- Price: 199.00

Building on the industry-standard spreadsheet, Analyse-it extends Excel with statistics and charts for visualising, describing and testing hypotheses on your data. The ease-of-use of Analyse-it, combined with the power of Excel, makes a formidable statistics package. With the easy-to-read help and Getting Started tutorials you'll be using Analyse-it on your own data in under 10 minutes. That's probably why Analyse-it is used in almost every industry imaginable and on so many university courses.
- Describe samples, distributions, correlations and relationships
- Visualise relationships, distributions, & differences with new Excel charts
- Test difference, change, correlation, agreement or prediction hypotheses
- Integrated into Microsoft Excel 97, 2000, 2002, 2003 & 2007
- Accurate, reliable...
- Publisher: Analyse-it Software, Ltd.
- Date:
- Size: 7249 KB
- Platform: Win2000, Windows Server, Windows Vista, WinOther
- PAML for Windows
- License: Shareware

PAML is a package of programs for phylogenetic analyses of DNA or protein sequences using maximum likelihood. It is maintained and distributed for academic use free of charge by Ziheng Yang. ANSI C source codes are distributed for UNIX/Linux/Mac OSX, and executables are provided for MS Windows. PAML is not good for tree making. It may be used to estimate parameters and test hypotheses to study the evolutionary process, when you have reconstructed trees using other programs such as PAUP*, PHYLIP, MOLPHY, PhyML, RaxML, etc..
- Publisher: abacus.gene.ucl.ac.uk
- Date:
- Size: 2641 KB
- Platform: WinOther
- BlocksLab for Windows
- License: Shareware
- Price: 84.00

With BlocksLab a child aged 3-12 can act, design, build, create, paint, animate, learn using blocks and multicolor shapes. With these tools, performing on-screen actions, boys and girls can interact and accomplish successful building projects. BlocksLab is developed by educators and engineers, and it's based on theories from active and constructivist pedagogy: the process of learning is considered as important, in developing knowledge, as knowledge itself. A child can learn to actively program a computer. BlocksLab is a software for everyone, offering features and facilities that make interacting possible and easy even if motor skills are damaged.
- Publisher: CID (Centro Informatica DisabilitO)
- Date: 01-07-2011
- Size: 4176 KB
- Platform: Win2000, Win7 x32, Win7 x64, WinOther, WinVista, WinVista x64
- Fitter Add-In
- License: Demo
- Price: 399.00

FITTER is a regression Add-In for MS Excel. It estimates any user-defined model that may be entered in ordinary algebraic notation as a set of explicit, implicit and differential equations. FITTER uses the analytic calculations of derivatives and a special optimization algorithm which provides a high accuracy for the nonlinear models. All calculations are performed in a DLL library created using C++, which provides high speed processing. FITTER allows you to include prior knowledge about parameters and accuracy of measurement in addition to experimental data. Using Bayesian estimation, you can process both unlimited arrays of single-response data, and data referring to different responses.
- Publisher: Polycert Ltd
- Date: 21-03-2011
- Size: 605 KB
- Platform: Win2000, Windows Server, Windows Vista, WinOther
- QDA Miner
- License: Shareware
- Price: 1895.00

QDA Miner is an easy-to-use mixed-model qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. QDA Miner may be used to analyze interview or focus-group transcripts, legal documents, journal articles, even entire books, as well as drawing, photographs, paintings, and other types of visual documents. Its seamless integration with Simstat, a statistical data analysis tool, and WordStat, a quantitative content analysis and text-mining module, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.
- Publisher: Kovach Computing Services
- Date: 01-09-2012
- Size: 23020 KB
- Platform: WinOther
- SimThyr
- License: Freeware
- Price: 0.00

Thyroid hormones play an essential role for metabolism, growth and differentiation. Therefore, exact regulation of thyroid hormone levels is vital for most organisms. Although the principles of thyrotropic feedback control have been described decades ago we still have not yet gained comprehensive understanding of its dynamics. Recently, significant progress has been made with mathematical modelling of thyroid homeostasis. However, due to nonlinear interactions, these cybernetic modells cannot simultaneously describe static and dynamic behaviour. This gap may be filled with computer simulations that additionally facilitate an intuitive insight into the dynamics of thyrotropic feedback.
- Publisher: Johannes W. Dietrich
- Date: 17-11-2012
- Size: 6451 KB
- Platform: WinOther
- Smirnov Cramer Von Mises Test
- License: Shareware

Single sample Smirnov-Cramer-Von Mises goodness-of-fit hypothesis test. H = MTEST(X,ALPHA) performs the particular case of Smirnov-Cramer-Von Mises test to determine whether the null hypothesis of composite normality CDF is a reasonable assumption regarding the population distribution of a random sample X with the desired significance level ALPHA. The Smirnov-Cramer-Von Mises test is based on interpolation procedure, so the significance level is restricted to 0.001 <= ALPHA <= 0.10. H indicates the result of the hypothesis test according to the MATLAB rules of conditional statements: H=1 => Do not reject the null hypothesis at significance level ALPHA.
- Publisher: G. Levin
- Date: 10-06-2013
- Size: 10 KB
- Platform: Matlab, Scripts
- Rayleigh Channel Pearson Chi Square Test
- License: Shareware

CHI2RAYLTEST: Single sample Pearson Chi Square goodness-of-fit statistical test to examine a null hypothesis of Rayleigh Channel. H=CHI2RAYLTEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of a Rayleigh channel realization is a reasonable assumption regarding the population distribution of a complex random sample X with the desired significance level ALPHA. H indicates the result of the hypothesis test according to the MATLAB rules of conditional statements: H=1 => Do not reject the null hypothesis at significance level ALPHA. H=0 => Reject the null hypothesis at significance level ALPHA.
- Publisher: G. Levin
- Date: 04-03-2013
- Size: 10 KB
- Platform: Matlab, Scripts
- Geary Test
- License: Shareware

GTEST: Single sample Geary goodness-of-fit hypothesis test. H=GTEST(X,ALPHA) performs the Geary test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random sample X with the desired significance level ALPHA. H indicates the result of the hypothesis test according to the MATLAB rules of conditional statements: H=1 => Do not reject the null hypothesis at significance level ALPHA. H=0 => Reject the null hypothesis at significance level ALPHA. The Geary's hypotheses and test statistic are: Null Hypothesis: X is normal with unknown mean and variance.
- Publisher: G. Levin
- Date: 10-05-2013
- Size: 10 KB
- Platform: Matlab, Scripts
- Pearson Chi Square Hypothesis Test
- License: Shareware

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test. H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random sample X with the desired significance level ALPHA. H indicates the result of the hypothesis test according to the MATLAB rules of conditional statements: H=1 => Do not reject the null hypothesis at significance level ALPHA. H=0 => Reject the null hypothesis at significance level ALPHA. The Chi Square hypotheses and test statistic in this particular case are: Null Hypothesis: X is normal with unknown mean and variance.
- Publisher: G. Levin
- Date: 06-03-2013
- Size: 10 KB
- Platform: Matlab, Scripts
Executes the Benjamini & Hochberg (1995) procedure for controlling the false discovery rate (FDR) of a family of hypothesis tests. FDR is the expected proportion of rejected hypotheses that are mistakenly rejected (i.e., the null hypothesis is actually true for those tests). FDR is generally a somewhat less conservative/more powerful method for correcting for multiple comparisons than procedures like Bonferroni correction that provide strong control of the family-wise error rate (i.e., the probability that one or more null hypotheses are mistakenly rejected). This function implements both versions of the Benjamini & Hochberg procedure: the one that assumes independent or positively dependent tests and the one that makes no assumptions about test dependency.
- Publisher: David Groppe
- Date: 23-02-2013
- Size: 10 KB
- Platform: Matlab, Scripts
- Bonferroni-Holm Correction for Multiple Comparisons
- License: Shareware

Bonferroni-Holm (1979) correction for multiple comparisons. This is a sequentially rejective version of the simple Bonferroni correction for multiple comparisons and strongly controls the family-wise error rate at level alpha. It works as follows: 1) All p-values are sorted in order of smallest to largest. m is the number p-values. 2) If the 1st p-value is greater than or equal to alpha/m, the procedure is stopped and no p-values are significant. Otherwise, go on. 3) The 1st p-value is declared significant and now the second p-value is compared to alpha/(m-1). If the 2nd p-value is greater than or equal to alpha/(m-1), the procedure is stopped and no further p-values are significant.
- Publisher: David Groppe
- Date: 04-04-2013
- Size: 10 KB
- Platform: Matlab, Scripts
- Py3DN
- License: Freeware
- Price: 0.00

Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. The application was developed in Python and uses Blender (an open source program) to produce detailed 3D representations of raw and processed data.
Py3DN License - GNU General Public License version 3.
- Publisher: Py3dn
- Date:
- Size: 443 KB
- Platform: Linux, Unix, WinOther











