limma - Linear Models for Microarray and Omics Data
Data analysis, linear models and differential expression for omics data.
Last updated
exonarraygeneexpressiontranscriptionalternativesplicingdifferentialexpressiondifferentialsplicinggenesetenrichmentdataimportbayesianclusteringregressiontimecoursemicroarraymicrornaarraymrnamicroarrayonechannelproprietaryplatformstwochannelsequencingrnaseqbatcheffectmultiplecomparisonnormalizationpreprocessingqualitycontrolbiomedicalinformaticscellbiologycheminformaticsepigeneticsfunctionalgenomicsgeneticsimmunooncologymetabolomicsproteomicssystemsbiologytranscriptomics
11.98 score 640 dependents 22k scriptsstatmod - Statistical Modeling
A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.
Last updated
10.77 score 1 stars 926 dependents 7.2k scripts 149k downloadslimpa - Quantification and Differential Analysis of Proteomics Data
Quantification and differential analysis of mass-spectrometry proteomics data, with probabilistic recovery of information from missing values. Avoids the need for imputation. Estimates the detection probability curve (DPC), which relates the probability of successful detection to the underlying log-intensity of each precursor ion, and uses it to incorporate missing values into protein quantification and into subsequent differential expression analyses. The package produces objects suitable for downstream analysis in limma. The package accepts precursor (or peptide) intensities including missing values and produces complete protein quantifications without the need for imputation. The uncertainty of the protein quantifications is propagated through to the limma analyses using variance modeling and precision weights, ensuring accurate error rate control. The analysis pipeline can alternatively work with PTM or protein level data. The package name "limpa" is an acronym for "Linear Models for Proteomics Data".
Last updated
bayesianbiologicalquestiondataimportdifferentialexpressiongeneexpressionmassspectrometrypreprocessingproteomicsregressionsoftwaredifferential-expressionmass-spectrometry
5.83 score 21 stars 20 scriptslimmaGUI - GUI for limma Package With Two Color Microarrays
A Graphical User Interface for differential expression analysis of two-color microarray data using the limma package.
Last updated
guigeneexpressiondifferentialexpressiondataimportbayesianregressiontimecoursemicroarraymrnamicroarraytwochannelbatcheffectmultiplecomparisonnormalizationpreprocessingqualitycontrol
4.60 score 1 scripts 506 downloadsaffylmGUI - GUI for limma Package with Affymetrix Microarrays
A Graphical User Interface (GUI) for analysis of Affymetrix microarray gene expression data using the affy and limma packages.
Last updated
guigeneexpressiontranscriptiondifferentialexpressiondataimportbayesianregressiontimecoursemicroarraymrnamicroarrayonechannelproprietaryplatformsbatcheffectmultiplecomparisonnormalizationpreprocessingqualitycontrol
4.60 score 4 scriptsdglm - Double Generalized Linear Models
Model fitting and evaluation tools for double generalized linear models (DGLMs). This class of models uses one generalized linear model (GLM) to fit the specified response and a second GLM to fit the deviance of the first model.
Last updated
3.73 score 2 stars 1 dependents 89 scripts 339 downloads