-
https://doi.org/10.1371/journal.pcbi.1005836 (preprint https://doi.org/10.1101/105957)
> New architectures of multilayer artificial neural networks and new methods for training them are rapidly rev…
-
We work on biological networks. These involve building network connections between 2 biological cells. For instance, in the example below we are trying to show interaction between 2 cell types. Their …
-
https://doi.org/10.1101/081364
> We show that deep convolutional neural networks combined with non-linear dimension reduction enable reconstructing biological processes based on raw image data. We …
-
## Which part of the documentation is missing/unclear?
Frequently Asked Questions (FAQ) draft here.
## FAQ
_These are example questions._
1. What is Graphery?
2. How do I use it?
3. Ho…
-
Inter-omics networks link bio-molecules of different types. They are constructed using biological a priori information showing presence of TF binding sites or H4K12ac epigenetic marks in the promoter …
Sbs12 updated
9 months ago
-
It would be nice to have some comparisons against simple null models for multiscale structure. Some simple ideas are nested SBMs or do something like Louvain, extract the partitions at multiple levels…
-
The link for the paper BMA: Visual Tool for Modeling and Analyzing Biological Networks, Benque et al. should be changed to https://link.springer.com/chapter/10.1007/978-3-642-31424-7_50
New papers …
-
> http://dx.doi.org/10.1371/journal.pone.0141287
>
> **Motivation:** We introduce a new representation and feature extraction method for biological sequences. Named bio-vectors (BioVec) to refer to…
-
> Single-cell transcriptome measurements can reveal unexplored biological diversity, but they suffer from technical noise and bias that must be modeled to account for the resulting uncertainty in down…
-
-We've talked about how the math doesn't care about what network we are looking at, whether it be social or brain or something else. How do interpretations of graphs change based on what type of netwo…