Cargando…
Predictive features of gene expression variation reveal mechanistic link with differential expression
For most biological processes, organisms must respond to extrinsic cues, while maintaining essential gene expression programmes. Although studied extensively in single cells, it is still unclear how variation is controlled in multicellular organisms. Here, we used a machine‐learning approach to iden...
Autores principales: | Sigalova, Olga M, Shaeiri, Amirreza, Forneris, Mattia, Furlong, Eileen EM, Zaugg, Judith B |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411568/ https://www.ncbi.nlm.nih.gov/pubmed/32767663 http://dx.doi.org/10.15252/msb.20209539 |
Ejemplares similares
-
Non-coding RNA Expression, Function, and Variation during Drosophila Embryogenesis
por: Schor, Ignacio E., et al.
Publicado: (2018) -
Simultaneous cellular and molecular phenotyping of embryonic mutants using single-cell regulatory trajectories
por: Secchia, Stefano, et al.
Publicado: (2022) -
Expression site attenuation mechanistically links antigenic variation and development in Trypanosoma brucei
por: Batram, Christopher, et al.
Publicado: (2014) -
Highly rearranged chromosomes reveal uncoupling between genome topology and gene expression
por: Ghavi-Helm, Yad, et al.
Publicado: (2019) -
Divergence in cis-regulatory networks: taking the 'species' out of cross-species analysis
por: Zinzen, Robert P, et al.
Publicado: (2008)