Sökning: "network inference"
Visar resultat 1 - 5 av 78 avhandlingar innehållade orden network inference.
1. Network and gene expression analyses for understanding protein function
Sammanfattning : Biological function is the result of a complex network of functional associations between genes or their products. Modeling the dynamics underlying biological networks is one of the big challenges in bioinformatics. LÄS MER
2. Towards Reliable Gene Regulatory Network Inference
Sammanfattning : Phenotypic traits are now known to stem from the interplay between genetic variables across many if not every level of biology. The field of gene regulatory network (GRN) inference is concerned with understanding the regulatory interactions between genes in a cell, in order to build a model that captures the behaviour of the system. LÄS MER
3. Exploring the Boundaries of Gene Regulatory Network Inference
Sammanfattning : To understand how the components of a complex system like the biological cell interact and regulate each other, we need to collect data for how the components respond to system perturbations. Such data can then be used to solve the inverse problem of inferring a network that describes how the pieces influence each other. LÄS MER
4. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments
Sammanfattning : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. LÄS MER
5. Percolation: Inference and Applications in Hydrology
Sammanfattning : Percolation theory is a branch of probability theory describing connectedness in a stochastic network. The connectedness of a percolation process is governed by a few, typically one or two, parameters. LÄS MER