ProjectR: an R/Bioconductor package for transfer learning via PCA, NMF, correlation and clustering.

ABSTRACT:

Motivation

Dimension reduction techniques are widely used to interpret high-dimensional biological data. Features learned from these methods are used to discover both technical artifacts and novel biological phenomena. Such feature discovery is critically importent in analysis of large single-cell datasets, where lack of a ground truth limits validation and interpretation. Transfer learning (TL) can be used to relate the features learned from one source dataset to a new target dataset to perform biologically driven validation by evaluating their use in or association with additional sample annotations in that independent target dataset.

Results

We developed an R/Bioconductor package, projectR, to perform TL for analyses of genomics data via TL of clustering, correlation and

SUBMITTER: Sharma G 

PROVIDER: S-EPMC7267840 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature