Original paper
Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data
Abstract
In many research areas scientists are interested in clustering objects within small datasets while making use of prior knowledge from large reference datasets. We propose a method to apply the machine learning concept of transfer learning to unsupervised clustering problems and show its effectiveness in the field of single-cell RNA sequencing (scRNA-Seq). The goal of scRNA-Seq experiments is often the definition and cataloguing of cell types...
Paper Details
Title
Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data
Published Date
Dec 30, 2019
Journal
Volume
9
Issue
1
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Notes
History