ASSIGN is a computational tool to evaluate the pathway deregulation/activation status in individual patient samples. ASSIGN employs a flexible Bayesian factor analysis approach that adapts predetermined pathway signatures derived either from knowledge-based literatures or from perturbation experiments to the cell-/tissue-specific pathway signatures. The deregulation/activation level of each context-specific pathway is quantified to a score, which represents the extent to which a patient sample encompasses the pathway deregulation/activation signature.
Package details |
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Author | Ying Shen, Andrea H. Bild, W. Evan Johnson, and Mumtehena Rahman |
Bioconductor views | Bayesian GeneExpression Pathways Software |
Maintainer | Ying Shen <yshen3@bu.edu>, W. Evan Johnson <wej@bu.edu>, David Jenkins <dfj@bu.edu>, Mumtehena Rahman <moom.rahman@utah.edu> |
License | MIT |
Version | 1.7.1 |
Package repository | View on GitHub |
Installation |
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