Titlebook: Gene Regulatory Networks; Methods and Protocol Guido Sanguinetti,Van Anh Huynh-Thu Book 2019 Springer Science+Business Media, LLC, part of

孤僻

馬籠頭

嘲弄

https://doi.org/10.1007/978-1-4939-8882-2Bayesian networks; Gaussian processes; data simulation; time series expression; single-cell transcriptom

jettison

https://doi.org/10.1007/978-3-642-51832-4t developments in speed and accuracy have enabled whole-transcriptome causal network inference on a personal computer. Here, we demonstrate this technique with program Findr on 3000 genes from the Geuvadis dataset. Subsequent analysis reveals major hub genes in the reconstructed network.

TEN

大吃大喝

令人悲傷

parallelism

Learning Differential Module Networks Across Multiple Experimental Conditions,module network inference, present protocols for common gene regulatory network reconstruction scenarios based on the Lemon-Tree software, and show, using human gene expression data, how the software can also be applied to learn differential module networks across multiple experimental conditions.

較早

壟斷