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Tune random networks to have the topology commonly found in regulatory or metabolic networks
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I came across this paper in a Web of Science alert that may be helpful in writing our grant:
Shojaie, A., & Sedaghat, N. (2017). How Different Are Estimated Genetic Networks of Cancer Subtypes?. In…
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**Background**
* [SBML](https://synonym.caltech.edu) and [CellML](https://www.cellml.org) are now widely adopted for defining and sharing models of subcellular biological processes.
* @MauriceHendri…
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SUGRL has shown impressive performance and speed. However, the paper Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning found that the representation space p…
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### Background
A biological pathway is a network consisting of interactions between biological molecules (e.g. proteins and chemicals) in a cell that lead to a certain product or a change. Research…
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https://doi.org/10.1101/262501
> Recent advances have enabled gene expression profiling of single cells at lower cost. As more data is produced there is an increasing need to integrate diverse data…
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https://doi.org/10.1021/acs.jcim.8b00670
> Predicting the outcome of biological assays based on high-throughput imaging data is a highly promising task in drug discovery since it can tremendously i…
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> Convolutional neural networks (CNNs) have been shown to perform exceptionally well in a variety of tasks, including biological sequence classification. Available implementations, however, are usuall…
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"Clustering" is hot topic among people who use graphs to model social and biological networks. What invariants exist for this notion?
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Let's add a [sifgraph](/PathwayCommons/sifgraph) dependency and implement new REST controller here.
Having [sifgraph-server](/PathwayCommons/sifgraph-server) code here in cpath2 could help extendin…