Network Inference from Time-Dependent Omics Data
互联网
688
We provide a commented overview of the available databases for the systematic collection of pathway information and biological models essential for the interpretation of Omics data. Then, we present both the state of the art and the future challenges of network inference, a research area dealing with the deduction of reaction mechanisms from experimental Omics data. This approach represents one of the most challenging instances for making use of the huge amount of information gathered in the Omics era.
![ENOX1/ENOX1蛋白Recombinant Human Ecto-NOX disulfide-thiol exchanger 1 (ENOX1)重组蛋白Candidate growth-related and time keeping constitutive hydroquinone [NADH] oxidase蛋白](https://img1.dxycdn.com/p/s14/2024/0914/386/8235194321829384381.jpg!wh200)
