Ensemble learning for classifying single-cell data and projection across reference atlases

Study ID Alternative Stable ID Type
EGAS00001004283 Other

Study Description

Single-cell data are being generated at an accelerating pace.How best to project data across single-cell atlases is an open problem. We developed a boosted learner that overcomes the greatest challenge with status quo classifiers: low sensitivity, especially when dealing with rare cell types.

Study Datasets 4 datasets.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
Single Cell RNA-Seq of Primary GBM. Gender Female, Age, 57.
Illumina NovaSeq 6000 1
Mixed Sample of scRNA-Seq primary low grade glioma. Genders: Male, Age: 34, 44.
Illumina NovaSeq 6000 1
Single Cell-RNA Seq of Wildtype Primary GBM for Female, Age 50.
Illumina NovaSeq 6000 1
Primary diffuse astrocytoma G3 Male, 74
Illumina NovaSeq 6000 1

Who archives the data?

There are no publications available