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SnapFISH-IMPUTE: an imputation method for multiplexed DNA FISH data.
Yu, Hongyu; Wu, Daiqing; Shen, Guning; Hu, Ming; Li, Yun.
Afiliação
  • Yu H; Department of Statistics, University of Wisconsin-Madison, Madison, WI, USA.
  • Wu D; Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
  • Shen G; Department of Mathematics, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Hu M; Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA.
  • Li Y; Department of Biology, University of North Carolina, Chapel Hill, NC, USA.
bioRxiv ; 2024 Jan 15.
Article em En | MEDLINE | ID: mdl-38293083
ABSTRACT
Chromatin spatial organization plays a crucial role in gene regulation. Recently developed and prospering multiplexed DNA FISH technologies enable direct visualization of chromatin conformation in nucleus. However, incomplete data caused by limited detection efficiency can substantially complicate and impair downstream analysis. Here, we present SnapFISH-IMPUTE that imputes missing values in multiplexed DNA FISH data. Analysis on multiple published datasets shows that the proposed method preserves the distribution of pairwise distances between imaging loci, and the imputed chromatin conformations are indistinguishable from the observed conformations. Additionally, imputation greatly improves downstream analyses such as identifying enhancer-promoter loops and clustering cells into distinct cell types. SnapFISH-IMPUTE is freely available at https//github.com/hyuyu104/SnapFISH-IMPUTE.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos