Back to search

Article

Identifying hierarchical cell states and gene signatures with deep exponential families for single-cell transcriptomics

2022-10-18

Abstract excerpt

Single-cell gene expression data characterizes the complex heterogeneity of living systems. Tissues are composed of various cells with diverse cell states driven by different sets of genes. Cell states are often related in a hierarchical fashion, for example, in cell differentiation hierarchies. Clustering which respects a hierarchy, therefore, can improve functional interpretation and be leveraged to remove noise...

Topics

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

Identifiers and source

Literature Corpus work
cdfbc2d2-4493-5d1c-84b2-9f59292c7a91
DOI
10.1101/2022.10.15.512383
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.
Identifying hierarchical cell states and gene signatures with deep exponential families for single-cell transcriptomicsDOI 10.1101/2022.10.15.512383
Select a neighboring publication to make it the new centre.