Building the mega single-cell transcriptome ocular meta-atlas.

ABSTRACT:

Background

The development of highly scalable single-cell transcriptome technology has resulted in the creation of thousands of datasets, >30 in the retina alone. Analyzing the transcriptomes between different projects is highly desirable because this would allow for better assessment of which biological effects are consistent across independent studies. However it is difficult to compare and contrast data across different projects because there are substantial batch effects from computational processing, single-cell technology utilized, and the natural biological variation. While many single-cell transcriptome-specific batch correction methods purport to remove the technical noise, it is difficult to ascertain which method functions best.

Results

We developed a lightweight

SUBMITTER: Swamy VS 

PROVIDER: S-EPMC8514335 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature