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 literature 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.
|Author||Ying Shen, Andrea H. Bild, W. Evan Johnson, and Mumtehena Rahman|
|Bioconductor views||Bayesian GeneExpression Pathways Software|
|Maintainer||Ying Shen <email@example.com>, W. Evan Johnson <firstname.lastname@example.org>, David Jenkins <email@example.com>, Mumtehena Rahman <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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