INDEED - Interactive Visualization of Integrated Differential Expression and Differential Network Analysis for Biomarker Candidate Selection Package
An R package for integrated differential expression and differential network analysis based on omic data for cancer biomarker discovery. Both correlation and partial correlation can be used to generate differential network to aid the traditional differential expression analysis to identify changes between biomolecules on both their expression and pairwise association levels. A detailed description of the methodology has been published in Methods journal (PMID: 27592383). An interactive visualization feature allows for the exploration and selection of candidate biomarkers.
Last updated 24 days ago
immunooncologysoftwareresearchfieldbiologicalquestionstatisticalmethoddifferentialexpressionmassspectrometrymetabolomics
5.92 score 4 stars 10 scripts 116 downloadsMetID - Network-based prioritization of putative metabolite IDs
This package uses an innovative network-based approach that will enhance our ability to determine the identities of significant ions detected by LC-MS.
Last updated 24 days ago
assaydomainbiologicalquestioninfrastructureresearchfieldstatisticalmethodtechnologyworkflowstepnetworkkegg
5.54 score 1 stars 70 scripts 150 downloads