LPmerge: an R package for merging genetic maps by linear programming

LPmerge: an R package for merging genetic maps by linear programming

UNLABELLED Consensus genetic maps constructed from multiple populations are an important resource for both basic and applied research, including genome-wide association analysis, genome sequence assembly and studies of evolution. The LPmerge software uses linear programming to efficiently minimize the mean absolute error between the consensus map and the linkage maps from each population. This ...

FuzzyLP: An R Package for Solving Fuzzy Linear Programming Problems

An inherent limitation of Linear Programming is the need to know precisely all the conditions concerning the problem being modeled. This is not always possible as there exist uncertainty situations which require a more suitable approach. Fuzzy Linear Programming allows working with imprecise data and constraints, leading to more realistic models. Despite being a consolidated field with more tha...

An Integrated Genetic Analysis Package Using R

nCal: an R package for non-linear calibration

SUMMARY Non-linear calibration is a widely used method for quantifying biomarkers wherein concentration-response curves estimated using samples of known concentrations are used to predict the biomarker concentrations in the samples of interest. The R package nCal fills an important gap in the open source, stand-alone software for performing non-linear calibration. For curve fitting, nCal provid...

SCGLR - An R Package for Supervised Component Generalized Linear Regression

The objective of this paper is to present an R package, SCGLR, implementing a new PLS regression approach in the multivariate generalized linear framework. The method allows the joint modeling of random variables from different exponential family distributions, searching for common PLS-type components. We discuss several of the functions in the package focusing in particular on the two main one...