Discrete latent embeddings illuminate cellular diversity in single-cell epigenomics

Authors

Zhi Wei, Department of Computer Science

Document Type

Syllabus

Publication Date

5-1-2024

Abstract

CASTLE, a deep learning approach, extracts interpretable discrete representations from single-cell chromatin accessibility data, enabling accurate cell type identification, effective data integration, and quantitative insights into gene regulatory mechanisms.

Identifier

85195123623 (Scopus)

Publication Title

Nature Computational Science

External Full Text Location

https://doi.org/10.1038/s43588-024-00634-3

e-ISSN

26628457

First Page

316

Last Page

317

Issue

5

Volume

4

Recommended Citation

Wei, Zhi, "Discrete latent embeddings illuminate cellular diversity in single-cell epigenomics" (2024). Faculty Publications. 440.
https://digitalcommons.njit.edu/fac_pubs/440