Robust reconstruction of single-cell RNA-seq data with iterative gene weight updates
Abstract
Single-cell RNA-sequencing technologies have greatly enhanced our understanding of heterogeneous cell populations and underlying regulatory processes. However, structural (spatial or temporal) relations between cells are lost during cell dissociation. These relations are crucial for identifying associated biological processes. Many existing tissue-reconstruction algorithms use prior information about subsets of genes that are informative with respect to the structure or process to be reconstructed. When such information is not available, and in the general case when the input genes code for multiple processes, including being susceptible to noise, biological reconstruction is often computationally challenging.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 01, 2023
- Source ID
- 10.1093/bioinformatics/btad253
Entities
People
- Boaz Barak
- Mor Nitzan
- Yueqi Sheng
Organizations
- Defense Advanced Research Projects Agency
- European Commission
- Harvard University
- Hebrew University of Jerusalem
- Israel Science Foundation
- National Science Foundation