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6237262381 of 76009 results
62372.
linear models for microarray data
Summary
modèles linéaires pour des données de biopuce (microarray)
Translated by Michael Vogt
Located in Package: r-bioc-limma
62373.
A Bioconductor package for the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression. The package includes pre-processing capabilities for two-colour spotted arrays. The differential expression methods apply to all array platforms and treat Affymetrix, single channel and two channel experiments in a unified way.
Description
Il s’agit d’un programme du projet Bioconductor pour l’analyse de données d’expression de gènes de puce (microarray), particulièrement avec l’utilisation de modèles linéaires pour l’analyse de conception d’expériences et l’évaluation d’expression différentielle. Le paquet fournit des possibilités de pré-traitement pour les puces décolorées en deux couleurs. Les méthodes d’expression différentielle s’appliquent à toutes les plateformes de puce et traitent les expérimentations simple canal et double canaux d’Affymetrix, de manière unifiée.
Translated by Michael Vogt
Located in Package: r-bioc-limma
62374.
GNU R abind multi-dimensional array combination function
Summary
Fonction abind de combinaison de tableaux multi-dimentionnels pour GNU[nbsp]R
Translated by Michael Vogt
Located in Package: r-cran-abind
62375.
This package provides the abind function, a generalization of the cbind and rbind function in the R base package. The abind function takes a sequence of vectors, matrices, or arrays and produces a single array of the same or higher dimension.
Description
Ce paquet fournit la fonction abind, une généralisation des fonctions cbind et rbind du paquet principal de R. La fonction abind prend en entrée une liste de vecteurs, matrices, ou tableaux et produit en sortie un seul tableau de dimension identique ou supérieure.
Translated by Michael Vogt
Located in Package: r-cran-abind
62376.
GNU R package supporting multiple imputation of missing data
Summary
(no translation yet)
Located in Package: r-cran-amelia
62377.
Amelia II "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables.
Description
(no translation yet)
Located in Package: r-cran-amelia
62378.
The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.
Description
(no translation yet)
Located in Package: r-cran-amelia
62379.
GNU R: A MORE flexible neural network package
Summary
paquet plus flexible de réseau neuronal de GNU[nbsp]R
Translated by Łukasz Zemczak
Located in Package: r-cran-amore
62380.
This package was born to release the TAO robust neural network algorithm to the R users. It has grown and I think it can be of interest for the users wanting to implement their own training algorithms as well as for those others whose needs lye only in the "user space".
Description
(no translation yet)
Located in Package: r-cran-amore
62381.
GNU R package for Bayesian inference
Summary
paquet de GNU[nbsp]R pour l’inférence bayésienne
Translated by Michael Vogt
Located in Package: r-cran-bayesm
6237262381 of 76009 results

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