Cargando…
Linear effects models of signaling pathways from combinatorial perturbation data
Motivation: Perturbations constitute the central means to study signaling pathways. Interrupting components of the pathway and analyzing observed effects of those interruptions can give insight into unknown connections within the signaling pathway itself, as well as the link from the pathway to the...
Autores principales: | Szczurek, Ewa, Beerenwinkel, Niko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908352/ https://www.ncbi.nlm.nih.gov/pubmed/27307630 http://dx.doi.org/10.1093/bioinformatics/btw268 |
Ejemplares similares
-
Influence maximization in time bounded network identifies transcription factors regulating perturbed pathways
por: Jo, Kyuri, et al.
Publicado: (2016) -
BioASF: a framework for automatically generating executable pathway models specified in BioPAX
por: Haydarlou, Reza, et al.
Publicado: (2016) -
RCK: accurate and efficient inference of sequence- and structure-based protein–RNA binding models from RNAcompete data
por: Orenstein, Yaron, et al.
Publicado: (2016) -
Reconstructing the temporal progression of HIV-1 immune response pathways
por: Jain, Siddhartha, et al.
Publicado: (2016) -
A novel algorithm for calling mRNA m(6)A peaks by modeling biological variances in MeRIP-seq data
por: Cui, Xiaodong, et al.
Publicado: (2016)