Back to search

Article

Construction of continuously expandable single-cell atlases through integration of heterogeneous datasets in a generalized cell-embedding space

2021-04-28

Abstract excerpt

<title>Abstract</title> <p>Single-cell RNA-seq and ATAC-seq analyses have been widely applied to decipher cell-type and regulation complexities. However, experimental conditions often confound biological variations when comparing data from different samples. For integrative single-cell data analysis, we have developed SCALEX, a deep generative framework that maps cells into a generalized, batch-invariant cell-emb...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
44dc9e1a-ea8f-5d9d-8179-833651c10b1b
DOI
10.21203/rs.3.rs-398163/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Construction of continuously expandable single-cell atlases through integration of heterogeneous datasets in a generalized cell-embedding spaceDOI 10.21203/rs.3.rs-398163/v1
Select a neighboring publication to make it the new centre.