1. SnapFISH-IMPUTE: an imputation method for multiplexed DNA FISH data.
- Author
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Yu, Hongyu, Wu, Daiqing, Mishra, Shreya, Shen, Guning, Sun, Huaigu, Hu, Ming, and Li, Yun
- Subjects
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MISSING data (Statistics) , *GENE enhancers , *GENETIC regulation - 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 the 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. A novel computational method for imputing missing data in multiplexed DNA FISH data is reported, improving the performance of downstream analysis including loop calling and cell type clustering. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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