Back to search

Article

Multimodal single cell data integration challenge: results and lessons learned

2022-04-12

Abstract excerpt

Biology has become a data-intensive science. Recent technological advances in single-cell genomics have enabled the measurement of multiple facets of cellular state, producing datasets with millions of single-cell observations. While these data hold great promise for understanding molecular mechanisms in health and disease, analysis challenges arising from sparsity, technical and biological variability, and high d...

Topics

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

Identifiers and source

Literature Corpus work
bf438ff1-3e8b-5e18-90f6-8f2d78775382
DOI
10.1101/2022.04.11.487796
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.
Multimodal single cell data integration challenge: results and lessons learnedDOI 10.1101/2022.04.11.487796
Select a neighboring publication to make it the new centre.