Cargando…
Estimating optimal sparseness of developmental gene networks using a semi-quantitative model
To estimate gene regulatory networks, it is important that we know the number of connections, or sparseness of the networks. It can be expected that the robustness to perturbations is one of the factors determining the sparseness. We reconstruct a semi-quantitative model of gene networks from gene e...
Autores principales: | Ichinose, Natsuhiro, Yada, Tetsushi, Wada, Hiroshi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400252/ https://www.ncbi.nlm.nih.gov/pubmed/28430819 http://dx.doi.org/10.1371/journal.pone.0176492 |
Ejemplares similares
-
Large-scale motif discovery using DNA Gray code and equiprobable oligomers
por: Ichinose, Natsuhiro, et al.
Publicado: (2012) -
Tetrahedral Gray Code for Visualization of Genome Information
por: Ichinose, Natsuhiro, et al.
Publicado: (2014) -
Gene Association Analysis of Quantitative Trait Based on Functional Linear Regression Model with Local Sparse Estimator
por: Wang, Jingyu, et al.
Publicado: (2023) -
Optimality of sparse olfactory representations is not affected by network plasticity
por: Assisi, Collins, et al.
Publicado: (2020) -
Establishment of a Non-Invasive Semi-Quantitative Bioluminescent Imaging Method for Monitoring of an Orthotopic Esophageal Cancer Mouse Model
por: Kuroda, Shinji, et al.
Publicado: (2014)