Gene Set Enrichment Analysis of P-value based statistics for outlier gene detection in dataset merged from multiple studies.

MEDME allows the prediction of absolute and relative methylation levels based on measures obtained by MeDIP-microarray experiments.

This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.

This package provides a set of annotation maps describing the entire MeSH assembled using data from MeSH.

Collect your data on digital marketing campaigns from Awin using the Windsor.ai API <https://windsor.ai/api-fields/>.

Primarily created as an easy and understanding way to do basic sequences surrounding the central dogma of molecular biology.

Method for identifying the instar of Curculionid larvae from the observed distribution of the headcapsule size of mature larvae.

Easily cache and retrieve computation results. The package works seamlessly across interactive R sessions, R scripts and Rmarkdown documents.

Overload utils::'? to build unary and binary operators from existing functions, piping operators of different precedence, and flexible syntaxes.

This package provides a tool to operate a batch of univariate or multivariate Cox models and return tidy result.

Test function arguments with a wide array of inputs, and produce reports summarizing messages, warnings, errors, and returned values.

FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.

This package provides a utility to facilitate the logging and review of R programs in clinical trial programming workflows.

Read and write access to PNG image files using the LodePNG library. The package has no external dependencies.

This package contains a suite of shiny applications meant to explore linear model inference feature through simulation and games.

Permutation tests for variance components for 2-level, 3-level and 4-level data with univariate or multivariate responses.

Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models in S and S-PLUS" (Springer, 2000).

Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).

An application for the empirical extrapolation of time features selecting and summarizing the most relevant patterns in time sequences.

Facilitates building a nesting or hierarchical structure as a list or data frame by using a human friendly syntax.

Customise Shiny disconnected screens as well as sanitize error messages to make them clearer and friendlier to the user.

This package implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.

This package provides methods and tools for generating forecasts at different temporal frequencies using a hierarchical time series approach.

RgnTX allows the integration of transcriptome annotations so as to model the complex alternative splicing patterns. It supports the testing of transcriptome elements without clear isoform association, which is often the real scenario due to technical limitations. It involves functions that do permutaion test for evaluating association between features and transcriptome regions.