PathExpand pipeline

PathExpand specifications

Information


Unique identifier OMICS_06669
Name PathExpand
Interface Web user interface
Restrictions to use None
Programming languages PHP, R
Computer skills Basic
Stability Stable
Maintained Yes

Publication for PathExpand

PathExpand IN pipelines

 (4)
2015
PMCID: 4665311
PMID: 26788135
DOI: 10.3892/ol.2015.3761

[…] the co-expression network consisted of 272 nodes, which indicated genes and proteins, and 602 edges, which indicated the number of interactions adjacent to the node. comparison between ease and pathexpand revealed that pathexpand detected more pathways or processes that were closely associated with pediatric all compared with the ease method. there were 294 nodes and 1,588 edges […]

2015
PMCID: 4665311
PMID: 26788135
DOI: 10.3892/ol.2015.3761

[…] consisted of 272 nodes, which indicated genes and proteins, and 602 edges, which indicated the number of interactions adjacent to the node. comparison between ease and pathexpand revealed that pathexpand detected more pathways or processes that were closely associated with pediatric all compared with the ease method. there were 294 nodes and 1,588 edges in the protein-protein interaction […]

2015
PMCID: 4665311
PMID: 26788135
DOI: 10.3892/ol.2015.3761

[…] interaction network, with the processes of hematopoietic cell lineage and porphyrin metabolism demonstrating a close association with pediatric all. network enrichment analysis based on the pathexpand algorithm was revealed to be more powerful for the analysis of interaction networks in pediatric all compared with the ease method. lif and mllt11 were identified as the most significantly […]

2015
PMCID: 4665311
PMID: 26788135
DOI: 10.3892/ol.2015.3761

[…] (de) genes in pediatric all, which were identified using the rankprod package. enrichment analysis of the interaction network was performed using the network-based methods enrichnet and pathexpand, which were compared with the traditional expression analysis systematic explored (ease) method. in total, 398 de genes were identified in pediatric all, and lif was the most significantly […]

PathExpand institution(s)
Nottingham University, UK

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