数据链接：
官方服务：
资源简介：
Regulatory interactions inference algorithms.
应用场景：
创建时间：
2016-10-31
相关数据集
Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration
Transformative applications in biomedicine require the discovery of complex regulatory networks that explain the development and regeneration of anatomical structures, and reveal what external signals
NIAID Data Ecosystem40
Additional file 8 of Tailored graphical lasso for data integration in gene network reconstruction
Additional file 8. List of the gene interactions in the Oslo 2 tailored graphical lasso graph that the weighted graphical lasso was not able to find. Each row contains the name of two genes whose node
NIAID Data Ecosystem20
A collection of draft gene regulatory networks and perturbation transcriptomics data
These are collections of previously published gene regulatory networks and perturbation transcriptomics data analyzed in our manuscript "A systematic comparison of computational methods for expression
Zenodo2025-03-31 更新00
Additional file 7: Table S5. of Overlapping cell population expression profiling and regulatory inference in C. elegans
Computed enrichments for each gene. (XLSX 5515Â kb)
NIAID Data Ecosystem30
De novo inference of thermodynamic binding energies using deep learning models of in vivo transcription factor binding
We introduce Affinity Distillation (AD), a method for extracting thermodynamic affinities de-novo from in-vivo immunoprecipitation experiments using deep learning. We show that neural networks modelin
NIAID Data Ecosystem20
