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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))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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