Cargando…
Discovery of protein–DNA interactions by penalized multivariate regression
Discovering which regulatory proteins, especially transcription factors (TFs), are active under certain experimental conditions and identifying the corresponding binding motifs is essential for understanding the regulatory circuits that control cellular programs. The experimental methods used for th...
Autores principales: | Zamdborg, Leonid, Ma, Ping |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760818/ https://www.ncbi.nlm.nih.gov/pubmed/19578060 http://dx.doi.org/10.1093/nar/gkp554 |
Ejemplares similares
-
Energetics of protein–DNA interactions
por: Donald, Jason E., et al.
Publicado: (2007) -
Spatial effects on the speed and reliability of protein–DNA search
por: Wunderlich, Zeba, et al.
Publicado: (2008) -
Multivariate extension of penalized regression on summary statistics to construct polygenic risk scores for correlated traits
por: Bahda, Meriem, et al.
Publicado: (2023) -
Quantifying the two-state facilitated diffusion model of protein–DNA interactions
por: Leven, Itai, et al.
Publicado: (2019) -
Translating mRNAs strongly correlate to proteins in a multivariate manner and their translation ratios are phenotype specific
por: Wang, Tong, et al.
Publicado: (2013)