From Genes to Flower Patterns and Evolution: Dynamic Models of Gene Regulatory Networks
✍ Scribed by Álvaro Chaos; Max Aldana; Carlos Espinosa-Soto; Berenice García Ponce de León; Adriana Garay Arroyo; Elena R. Alvarez-Buylla
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 220 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0721-7595
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from microarray experiments. This is critically important for revealing fundamental cellular processes, investigating gene function
In an effort to understand the forces shaping evolution of regulatory genes and patterns, we have compared data on interspecific differences in enzyme expression patterns among the rapidly evolving Hawaiian picture-winged Drosophila to similar data on the more conservative virilis species group. Div
One of the main aims of developmental biology is to understand how a single and apparently homogeneous egg cell achieves the intricate complexity of the adult. Here we present two models to explain the generation of developmental patterns through interactions at the gene level. One model considers d