官方服务：
资源简介：
Benchmarking splits for the LinkPhinder model
应用场景：
创建时间：
2020-04-22
相关数据集
Additional file 2: of An efficient algorithm for identifying primary phenotype attractors of a large-scale Boolean network
Attractors for proliferation in the Mitogen-activated protein kinase (MAPK) model. (XLSX 60Â kb)
DataCite Commons2024-12-13 更新120
Comparison of the global properties of the four predicted networks.
Global properties of the three constituent networks and the integrated network. The sequence similarity network excludes nodes with no edges (‘orphan’ proteins with no sequence similarity matches). Co
NIAID Data Ecosystem70
Compare disease genes with random genes using graphlet signature and graphlet interaction.
Graphlet signature and graphlet interaction were applied and compared to distinguish the disease genes and random picked genes. a. The average signatures of disease genes (blue line) and random genes
NIAID Data Ecosystem50
Additional file 7 of Discovering large conserved functional components in global network alignment by graph matching
The results produced by L-GRAAL. Each pathway pair has four sheets to describe alignment results. The former two sheets represent retrieving results of two species by APID dataserver [38] respectively
DataCite Commons2024-02-16 更新100
Quasi-bicliques found from HCV-human protein interaction database.
The HCV proteins and human proteins involved in the quasi-bicliques are reported along with the densities of the quasi-bicliques.
Figshare2015-12-02 更新60
