Multi-scale chromatin state annotation using a hierarchical hidden Markov model
The impact of chromatin structure on gene expression makes it integral to our understanding of developmental and disease processes. Here, the authors introduce a hierarchical hidden Markov model to systematically annotate chromatin states at multiple length scales, and demonstrate its utility for th...
Guardado en:
Autores principales: | Eugenio Marco, Wouter Meuleman, Jialiang Huang, Kimberly Glass, Luca Pinello, Jianrong Wang, Manolis Kellis, Guo-Cheng Yuan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2004377ed7d24b28b5e7aa6b466a4072 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A hidden Markov model for lymphatic tumor progression in the head and neck
por: Roman Ludwig, et al.
Publicado: (2021) -
Publisher Correction: A hidden Markov model for lymphatic tumor progression in the head and neck
por: Roman Ludwig, et al.
Publicado: (2021) -
Off-chip prefetching based on Hidden Markov Model for non-volatile memory architectures.
por: Adrián Lamela, et al.
Publicado: (2021) -
A new method for inferring hidden markov models from noisy time sequences.
por: David Kelly, et al.
Publicado: (2012) -
Functional annotation of hierarchical modularity.
por: Kanchana Padmanabhan, et al.
Publicado: (2012)