Transcriptomic Dynamics Models in Field Conditions
Converts attribute data from a dataframe into an object.
converts expression data from a dataframe into an object.
Converts weather data from a dataframe into an object.
Converts regression weight data from a dataframe into an object.
A raw API for fixing linear regression coefficients.
FIT: a statistical modeling tool for transcriptome dynamics under fluc...
A raw API for initializing model parameters.
Loads attribute data.
Loads expression data.
Loads weather data.
Loads regression weight data.
Creates a recipe for training models.
Makes trivial weight data
A raw API for optimizing model parameters.
Predicts gene expressions using pretrained models.
Computes the prediction errors using the trained models.
Constructs models following a recipe.
Supported weather factors.
Provides functionality for constructing statistical models of transcriptomic dynamics in field conditions. It further offers the function to predict expression of a gene given the attributes of samples and meteorological data. Nagano, A. J., Sato, Y., Mihara, M., Antonio, B. A., Motoyama, R., Itoh, H., Naganuma, Y., and Izawa, T. (2012). <doi:10.1016/j.cell.2012.10.048>. Iwayama, K., Aisaka, Y., Kutsuna, N., and Nagano, A. J. (2017). <doi:10.1093/bioinformatics/btx049>.