Norway981 http://genome-www5.stanford.edu/ Annotation Data (Norway981) assembled using data from public repositories.

Genome wide annotation for Chicken, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Xenopus, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Pig, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Canine, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Chimp, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Anopheles, primarily based on mapping using Entrez Gene identifiers.

This package provides a package containing an environment represeting the newcdf/tinesATH1.cdf.cdf file.

This is a function for validating microarray clusters via reproducibility, based on the paper referenced below.

Apply neutrosophic regression type estimator and performs neutrosophic interval analysis including metric calculations for survey data.

This package provides a small collection of data on graduate statistics programs from the United States.

Simple definition of time intervals for the current, previous, and next week, month, quarter and year.

User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.

Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.

This package provides Apache and IIS log analytics for transaction performance, client populations and workload definitions.

This package provides a collection of custom input controls and user interface components for Shiny applications.

Utility method to run function either synchronously or asynchronously using the common `this.async()` style.

This package provides a collection of methods for performing random rotations on high-dimensional, normally distributed data (e.g. microarray or RNA-seq data) with batch structure. The random rotation approach allows exact testing of dependent test statistics with linear models following arbitrary batch effect correction methods.

This package produces Shiny applications for different types of popular functional data analyses. The functional data analyses are implemented in the refund package, then refund.shiny reads in the refund object and implements an object-specific set of plots based on the object class using S3.

An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).

This package provides high level functions for parallel programming with Rcpp. For example, the parallelFor() function can be used to convert the work of a standard serial for loop into a parallel one and the parallelReduce() function can be used for accumulating aggregates or other values.

Type system for Ruby supporting coercions, constraints and complex types like structs, value objects, enums etc

This package provides an interactive tutorial for the Ren'py visual novel engine, explaining all of its features.

This package provides a safer variant of READ secure against internbombing, excessive input and macro characters.