FSCseq_predict: Prediction via FSCseq

In DavidKLim/FSCseq: Feature Selection and Clustering of RNA-seq Count Data

Description

Performs prediction of cluster membership via trained model

Usage

FSCseq_predict(
  X = NULL,
  fit,
  cts_train = NULL,
  cts_pred,
  SF_train = NULL,
  SF_pred,
  maxit = 100,
  eps = 1e-04
)

Arguments

X	(optional) design matrix of dimension n by p
fit	FSCseq results object
cts_train	Training count data matrix of dimension g by n_train
cts_pred	Prediction/test count data matrix of dimension g by n_pred
SF_train	Vector of length n_train, size factors for training subjects. Can be accessed from the fit.
SF_pred	Vector of length n_pred, size factors for prediction subjects
maxit	Maximum number of iterations to run if prediction batches are estimated, default is 100.
eps	Tolerance for relative change in Q function convergence criterion if prediction batches are estimated, default is 1e-4.

Value

list containing outputs final_clusters: vector of length n of resulting clusters, wts: k by n matrix of E step weights

Author(s)

David K. Lim, [e-mail]

References

https://github.com/DavidKLim/FSCseq

DavidKLim/FSCseq documentation built on Dec. 12, 2021, 3:46 a.m.