R packages by takakoizumi

OmicSense - 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.

Last updated 2 years ago

2.70 score 4 scripts 585 downloads

PLORN - Prediction with Less Overfitting and Robust to Noise

A method for the quantitative prediction with much predictors. This package provides functions to construct the quantitative prediction model with less overfitting and robust to noise.

Last updated 3 years ago

2.70 score 4 scripts 311 downloads

QuESTr - Constructing Quantitative Environment Sensor using Transcriptomes

A method for prediction of environmental conditions based on transcriptome data linked with the environmental gradients. This package provides functions to overview gene-environment relationships, to construct the prediction model, and to predict environmental conditions where the transcriptomes were generated. This package can quest for candidate genes for the model construction even in non-model organisms' transcriptomes without any genetic information.

Last updated 3 years ago

2.70 score 4 scripts 350 downloads