Cargando…
What Do Neighbors Tell About You: The Local Context of Cis-Regulatory Modules Complicates Prediction of Regulatory Variants
Many problems of modern genetics and functional genomics require the assessment of functional effects of sequence variants, including gene expression changes. Machine learning is considered to be a promising approach for solving this task, but its practical applications remain a challenge due to the...
Autores principales: | Penzar, Dmitry D., Zinkevich, Arsenii O., Vorontsov, Ilya E., Sitnik, Vasily V., Favorov, Alexander V., Makeev, Vsevolod J., Kulakovskiy, Ivan V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834773/ https://www.ncbi.nlm.nih.gov/pubmed/31737053 http://dx.doi.org/10.3389/fgene.2019.01078 |
Ejemplares similares
-
LegNet: a best-in-class deep learning model for short DNA regulatory regions
por: Penzar, Dmitry, et al.
Publicado: (2023) -
Jaccard index based similarity measure to compare transcription factor binding site models
por: Vorontsov, Ilya E, et al.
Publicado: (2013) -
Landscape of allele-specific transcription factor binding in the human genome
por: Abramov, Sergey, et al.
Publicado: (2021) -
Insights gained from a comprehensive all-against-all transcription factor binding motif benchmarking study
por: Ambrosini, Giovanna, et al.
Publicado: (2020) -
Exact p-value calculation for heterotypic clusters of regulatory motifs and its application in computational annotation of cis-regulatory modules
por: Boeva, Valentina, et al.
Publicado: (2007)