Biosensor Development using Omics Data

A method for the quantitative prediction using omics data. This package provides functions to construct the quantitative prediction model using omics data.


OmicSense

The goal of OmicSense is to provide the functions to construct a prediction model of environments using noisy omics data linked with the environments based on OmicSense algorithm.

Installation

You can install the development version of OmicSense from GitHub with:
#install.packages("devtools")
devtools::install_github("takakoizumi/OmicSense")

Example

install.packages("OmicSense")
library(OmicSense)

basic example code

data(Pinus)
x.train <- Pinus[[1]]
x.test <- Pinus[[2]]
y <- Pinus[[3]]
cor(y, os.pred(x.train, y, newx = x.test, n.pred = 100))

Reference manual

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install.packages("OmicSense")

0.2.0 by Takahiko Koizumi, 3 years ago


< https://github.com/takakoizumi/OmicSense>


Browse source code at https://github.com/cran/OmicSense


Authors: Takahiko Koizumi [aut, cre] , Kenta Suzuki [ctb] , Yasunori Ichihashi [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports ggplot2, kernlab

Suggests knitr, rmarkdown, testthat


See at CRAN