Cargando…
Unraveling gene regulatory networks from time-resolved gene expression data -- a measures comparison study
BACKGROUND: Inferring regulatory interactions between genes from transcriptomics time-resolved data, yielding reverse engineered gene regulatory networks, is of paramount importance to systems biology and bioinformatics studies. Accurate methods to address this problem can ultimately provide a deepe...
Autores principales: | Hempel, Sabrina, Koseska, Aneta, Nikoloski, Zoran, Kurths, Jürgen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161045/ https://www.ncbi.nlm.nih.gov/pubmed/21771321 http://dx.doi.org/10.1186/1471-2105-12-292 |
Ejemplares similares
-
Genome-Wide Identification of Regulatory Elements and Reconstruction of Gene Regulatory Networks of the Green Alga Chlamydomonas reinhardtii under Carbon Deprivation
por: Vischi Winck, Flavia, et al.
Publicado: (2013) -
Correction: Genome-Wide Identification of Regulatory Elements and Reconstruction of Gene Regulatory Networks of the Green Alga Chlamydomonas reinhardtii under Carbon Deprivation
por: Winck, Flavia Vischi, et al.
Publicado: (2014) -
Analysing Dynamical Behavior of Cellular Networks via Stochastic Bifurcations
por: Zakharova, Anna, et al.
Publicado: (2011) -
Timing Cellular Decision Making Under Noise via Cell–Cell Communication
por: Koseska, Aneta, et al.
Publicado: (2009) -
Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data
por: Razaghi-Moghadam, Zahra, et al.
Publicado: (2020)